[ECCV2024] DualDn (Denoise in raw and sRGB domain)
0
srgb
40.5937
0.9661
0
Submission Details
Submission Name: [ECCV2024] DualDn (Denoise in raw and sRGB domain)
Authors: Ruikang Li
Paper Title: DualDn: Dual-domain Denoising via Differentiable ISP
Venue: [ECCV2024] https://github.com/OpenImagingLab/DualDn
Machine Specs: GPU
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BDE
0
srgb
40.5163
0.9638
0
Submission Details
Submission Name: BDE
Authors: meg_model2_dense00_e1335_rto2r_s1
Paper Title:
Venue:
Machine Specs: GPU
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Pseudo-ISP
0
srgb
40.3221
0.9614
0
Submission Details
Submission Name: Pseudo-ISP
Authors: Yue Cao(cscaoyue@gmail.com) Wangmeng Zuo(cswmzuo@gmail.com)
Paper Title: new_submit_b
Venue: new_submit_b
Machine Specs: GPU
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DnSwin
0
srgb
40.2898
0.9622
8.5
Submission Details
Submission Name: DnSwin
Authors: Hao Li
Paper Title: DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Venue: https://arxiv.org/abs/2207.13861
Machine Specs: GPU
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PNGAN
0
srgb
40.2528
0.9617
0
Submission Details
Submission Name: PNGAN
Authors: Cai, Yuanhao and Hu, Xiaowan and Wang, Haoqian and Zhang, Yulun and Pfister, Hanspeter and Wei, Donglai
Paper Title: Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training (NeurIPS 2021)
Venue: @inproceedings{cai2021learning, title={Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training}, author={Cai, Yuanhao and Hu, Xiaowan and Wang, Haoqian and Zhang, Yulun and Pfister, Hanspeter and Wei, Donglai}, booktitle={Thirty-Fifth Conference on Neural Information Processing Systems}, year={2021} }
Machine Specs: https://papers.nips.cc/paper/2021/file/1a5b1e4daae265b790965a275b53ae50-Paper.pdf
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GMSNet-B
0
srgb
40.237
0.9616
0
Submission Details
Submission Name: GMSNet-B
Authors: Yuda Song
Paper Title: Grouped Multi-Scale Network for Real-world Image Denoising
Venue: IEEE Signal Processing Letters
Machine Specs: GPU
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GACNet
0
srgb
40.223
0.9597
1
Submission Details
Submission Name: GACNet
Authors: –
Paper Title: –
Venue: –
Machine Specs: GPU
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FADNet*
0
srgb
40.2016
0.9595
1
Submission Details
Submission Name: FADNet*
Authors:
Paper Title: –
Venue: –
Machine Specs: GPU
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Pseudo-ISP(PT-MWRN)
0
srgb
40.1944
0.9594
0
Submission Details
Submission Name: Pseudo-ISP(PT-MWRN)
Authors: submit_DND_MWRN_e12
Paper Title: submit_DND_MWRN_e12
Venue: submit_DND_MWRN_e12
Machine Specs: GPU
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MDnN_one
0
srgb
40.1903
0.9614
0.4
Submission Details
Submission Name: MDnN_one
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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DMANet
0
srgb
40.1876
0.9592
1
Submission Details
Submission Name: DMANet
Authors: Jerry
Paper Title: –
Venue: –
Machine Specs: GPU
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M2AE2Net
0
srgb
40.1808
0.9617
1.1
Submission Details
Submission Name: M2AE2Net
Authors:
Paper Title:
Venue:
Machine Specs: gpu
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FADNet
0
srgb
40.1742
0.9592
0
Submission Details
Submission Name: FADNet
Authors: –
Paper Title: –
Venue: –
Machine Specs: GPU
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Scaoed_2
0
srgb
40.1663
0.9597
1
Submission Details
Submission Name: Scaoed_2
Authors: Chao Ren, Yizhong Pan, Jie Huang
Paper Title: Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
Venue: NeurIPS 2022
Machine Specs: GPU
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MPA-Net
0
srgb
40.1621
0.9593
1
Submission Details
Submission Name: MPA-Net
Authors:
Paper Title: –
Venue: –
Machine Specs: GPU
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S_TUNet
0
srgb
40.1534
0.9604
8.5
Submission Details
Submission Name: S_TUNet
Authors: HouseLee
Paper Title:
Venue:
Machine Specs: GPU
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GMSNet-A
0
srgb
40.1503
0.9615
0
Submission Details
Submission Name: GMSNet-A
Authors: Yuda Song
Paper Title: Grouped Multi-Scale Network for Real-world Image Denoising
Venue: IEEE Signal Processing Letters
Machine Specs: GPU
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Scaoed_1
0
srgb
40.1184
0.9603
1
Submission Details
Submission Name: Scaoed_1
Authors: Chao Ren, Yizhong Pan, Jie Huang
Paper Title: Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
Venue: NeurIPS 2022
Machine Specs: GPU
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DCA-DNet
0
srgb
40.102
0.9582
0.5
Submission Details
Submission Name: DCA-DNet
Authors: 1
Paper Title: 1
Venue: 1
Machine Specs: GPU
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LGDNet
0
srgb
40.0988
0.9561
0
Submission Details
Submission Name: LGDNet
Authors: 丁宇伟, 石洪波, 李杰, 梁敏
Paper Title: 基于局部和全局特征解耦的图像去噪算法
Venue: 0
Machine Specs: GPU
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Res_UNet
0
srgb
40.0612
0.9604
50
Submission Details
Submission Name: Res_UNet
Authors: HouseLee
Paper Title:
Venue:
Machine Specs: GPU
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PseudoISP(PT-MWRN)
0
srgb
40.054
0.9565
0
Submission Details
Submission Name: PseudoISP(PT-MWRN)
Authors: Yue Cao(cscaoyue@gmail.com) Wangmeng Zuo(cswmzuo@gmail.com)
Paper Title: submit_DND_MWRN_e62
Venue: submit_DND_MWRN_e62
Machine Specs: GPU
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PT-MWRN
0
srgb
40.0531
0.9565
0
Submission Details
Submission Name: PT-MWRN
Authors: YueCao
Paper Title: YueCao
Venue: YueCao
Machine Specs: GPU
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Restormer
0
srgb
40.0324
0.9564
0
Submission Details
Submission Name: Restormer
Authors: Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang,
Paper Title: Restormer: Efficient Transformer for High-Resolution Image Restoration
Venue: CVPR 2022 (https://github.com/swz30/Restormer)
Machine Specs:
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MFU
0
srgb
40.0023
0.9555
0
Submission Details
Submission Name: MFU
Authors: /Qifan Li
Paper Title: /Denoising Image by Matrix Factorization in U-shaped Convolutional Neural Network
Venue: /https://doi.org/10.1016/j.jvcir.2022.103729
Machine Specs: GPU
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DeCformer+
0
srgb
39.9985
0.9553
1
Submission Details
Submission Name: DeCformer+
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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MDDA_former
0
srgb
39.9828
0.9557
0
Submission Details
Submission Name: MDDA_former
Authors: ZX_GDUT
Paper Title:
Venue:
Machine Specs: gpu
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Uformer
0
srgb
39.9791
0.9554
0
Submission Details
Submission Name: Uformer
Authors: Zhendong Wang, Xiaodong Cun, Jianmin Bao, Jianzhuang Liu
Paper Title: Uformer: A General U-Shaped Transformer for Image Restoration
Venue:
Machine Specs: GPU
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Basemodel
0
srgb
39.9649
0.9587
0
Submission Details
Submission Name: Basemodel
Authors: Qian Ye
Paper Title:
Venue:
Machine Specs: GPU
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CTHNet2
0
srgb
39.9612
0.955
1
Submission Details
Submission Name: CTHNet2
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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HPDNet
0
srgb
39.9512
0.9565
0.18
Submission Details
Submission Name: HPDNet
Authors: Ruijun Ma
Paper Title: –
Venue:
Machine Specs: GPU
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TECDNet_S
0
srgb
39.9137
0.955
0.015
Submission Details
Submission Name: TECDNet_S
Authors: zhaomo
Paper Title: None
Venue: None
Machine Specs: 3090
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MDPA-Net-Enhanced
0
srgb
39.9105
0.9549
1
Submission Details
Submission Name: MDPA-Net-Enhanced
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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PCformer
0
srgb
39.9103
0.9552
0.1
Submission Details
Submission Name: PCformer
Authors: YecongWan(yecongwan@gmail.com)
Paper Title: Progressive Convolutional Transformer for Image Restoration
Venue: no
Machine Specs: GPU
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Bigk_Rep_attn_128_bs32
0
srgb
39.9036
0.9547
1
Submission Details
Submission Name: Bigk_Rep_attn_128_bs32
Authors: luxin
Paper Title: LKNet
Venue:
Machine Specs: GPU
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LIGN
0
srgb
39.9014
0.9589
0
Submission Details
Submission Name: LIGN
Authors: Jiarui Yang (yangjiarui55@163.com)
Paper Title: Layered Input GradiNet For Image Denoising
Venue: CN.
Machine Specs:
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NBNet
0
srgb
39.8932
0.9554
0
Submission Details
Submission Name: NBNet
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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TECDNet_L
0
srgb
39.8861
0.9549
0.015
Submission Details
Submission Name: TECDNet_L
Authors: zhaomo
Paper Title: TECDNet
Venue: None
Machine Specs: 3090
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MIRNet
0
srgb
39.88
0.9563
0
Submission Details
Submission Name: MIRNet
Authors: Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao
Paper Title: Learning Enriched Features for Real Image Restoration and Enhancement
Venue: ECCV 2020
Machine Specs:
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PPDNet
0
srgb
39.8703
0.9551
0
Submission Details
Submission Name: PPDNet
Authors: HyeongjinNam
Paper Title:
Venue: test
Machine Specs: GPU
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ADFNet
0
srgb
39.8694
0.9552
-1
Submission Details
Submission Name: ADFNet
Authors: none
Paper Title: none
Venue: 2022
Machine Specs: gpu
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MDPA-Net
0
srgb
39.8682
0.9549
0
Submission Details
Submission Name: MDPA-Net
Authors: –
Paper Title: –
Venue: –
Machine Specs: GPU
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PT-MWRN
0
srgb
39.8447
0.958
0
Submission Details
Submission Name: PT-MWRN
Authors: Yue Cao(cscaoyue@gmail.com) Wangmeng Zuo(cswmzuo@gmail.com)
Paper Title: https://arxiv.org/abs/2010.12422 https://github.com/happycaoyue/PT-MWRN
Venue: 0
Machine Specs: GPU
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Bigk_Rep_32_128_bs32
0
srgb
39.8393
0.9536
1
Submission Details
Submission Name: Bigk_Rep_32_128_bs32
Authors: luxin
Paper Title: LKNet
Venue:
Machine Specs: GPU
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DPDN+
0
srgb
39.8293
0.9537
0
Submission Details
Submission Name: DPDN+
Authors: Yeong Il Jang, Yoonsik Kim, Nam Ik Cho
Paper Title: Dual Path Denoising Network for Real Photographic Noise
Venue: IEEE Signal Processing Letters
Machine Specs: GPU
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VIRNet
0
srgb
39.8264
0.9537
0.98
Submission Details
Submission Name: VIRNet
Authors: Zongsheng Yue
Paper Title: Deep Variational Network Toward Blind Image Restoration
Venue: TPAMI
Machine Specs: GPU
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MPRNet
0
srgb
39.8162
0.954
0
Submission Details
Submission Name: MPRNet
Authors: Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
Paper Title: Multi-Stage Progressive Image Restoration
Venue: CVPR 2021 (https://github.com/swz30/MPRNet)
Machine Specs:
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MMPDBet_2
0
srgb
39.7817
0.9534
0
Submission Details
Submission Name: MMPDBet_2
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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ANLD_Baseline
0
srgb
39.7715
0.9538
0.4
Submission Details
Submission Name: ANLD_Baseline
Authors: Rui Zhao
Paper Title:
Venue:
Machine Specs: GPU
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AINDNet(S)*
0
srgb
39.7695
0.959
0
Submission Details
Submission Name: AINDNet(S)*
Authors: Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho
Paper Title: Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Venue: CVPR 2020
Machine Specs: GPU
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Path-Restore-Ext
0
srgb
39.7227
0.9591
0.42
Submission Details
Submission Name: Path-Restore-Ext
Authors: Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy
Paper Title: Path-Restore: Learning Network Path Selection for Image Restoration
Venue:
Machine Specs: GPU
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hyh
0
srgb
39.7005
0.9522
1
Submission Details
Submission Name: hyh
Authors:
Paper Title:
Venue:
Machine Specs:
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VDIR+
0
srgb
39.6941
0.9532
0
Submission Details
Submission Name: VDIR+
Authors: Jae Woong Soh, Nam Ik Cho
Paper Title: Variational Deep Image Restoration (TIP, 2022)
Venue:
Machine Specs: GPU
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DPDN
0
srgb
39.6657
0.9542
0
Submission Details
Submission Name: DPDN
Authors: Yeong Il Jang, Yoonsik Kim, Nam Ik Cho
Paper Title: Dual Path Denoising Network for Real Photographic Noise
Venue: IEEE Signal Processing Letters
Machine Specs: GPU
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BCDNet-L
0
srgb
39.6571
0.9532
0
Submission Details
Submission Name: BCDNet-L
Authors: test
Paper Title: test
Venue: test
Machine Specs: GPU
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COLA-E
0
srgb
39.6392
0.9538
1
Submission Details
Submission Name: COLA-E
Authors: Chong Mou
Paper Title: COLA-Net: Collaborative Attention Network for Image Restoration
Venue:
Machine Specs: GPU
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VDIR
0
srgb
39.6337
0.9528
0
Submission Details
Submission Name: VDIR
Authors: Jae Woong Soh, Nam Ik Cho
Paper Title: Variational Deep Image Restoration (TIP, 2022)
Venue:
Machine Specs: GPU
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CBDNet+
0
srgb
39.629
0.9571
0.4
Submission Details
Submission Name: CBDNet+
Authors: Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo and Lei Zhang
Paper Title: Toward Convolutional Blind Denoising of Real Photographs
Venue: CVPR 2019 (unofficial: https://github.com/IDKiro/CBDNet-pytorch)
Machine Specs: GPU
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DIDN
0
srgb
39.6224
0.9546
0
Submission Details
Submission Name: DIDN
Authors: DIDN
Paper Title: DIDN
Venue: DIDN
Machine Specs: GPU
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ACIDN
0
srgb
39.5947
0.9525
-1
Submission Details
Submission Name: ACIDN
Authors:
Paper Title:
Venue:
Machine Specs:
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SADNet
0
srgb
39.5871
0.9523
0.027
Submission Details
Submission Name: SADNet
Authors: Meng Chang
Paper Title: Spatial-Adaptive Network for Single Image Denoising
Venue:
Machine Specs:
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DANet+
0
srgb
39.5848
0.9545
0.12
Submission Details
Submission Name: DANet+
Authors: Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng
Paper Title: Dual Adversarial Network: Toward Real Noise Removal and Noise Generation
Venue: ECCV, 2020
Machine Specs: GPU (GTX 1080Ti)
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allnet
0
srgb
39.5725
0.9519
0.02
Submission Details
Submission Name: allnet
Authors: chenxiao
Paper Title: all in one is your need
Venue: china
Machine Specs: GPU
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Thunder
0
srgb
39.5704
0.9526
1
Submission Details
Submission Name: Thunder
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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InvDN
0
srgb
39.5699
0.9522
0
Submission Details
Submission Name: InvDN
Authors: Yang Liu
Paper Title: Invertible Denoising Network: A Light Solution for Real Noise Removal
Venue:
Machine Specs:
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BCDNet
0
srgb
39.5691
0.9528
1
Submission Details
Submission Name: BCDNet
Authors: ksko
Paper Title: BCDNet
Venue:
Machine Specs: GPU
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CycleISP
0
srgb
39.5649
0.9564
0
Submission Details
Submission Name: CycleISP
Authors: Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
Paper Title: CycleISP: Real Image Restoration via Improved Data Synthesis
Venue: CVPR 2020 (Oral) https://github.com/swz30/CycleISP
Machine Specs:
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AINDNet(S)
0
srgb
39.526
0.9561
0
Submission Details
Submission Name: AINDNet(S)
Authors: Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho
Paper Title: Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Venue: CVPR 2020
Machine Specs: GPU
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AINDNet+TF*
0
srgb
39.5179
0.9522
0
Submission Details
Submission Name: AINDNet+TF*
Authors: Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho
Paper Title: Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Venue: CVPR 2020
Machine Specs: GPU
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RIDNet_P(mwcnn_DIP_e12)
0
srgb
39.5153
0.9526
0
Submission Details
Submission Name: RIDNet_P(mwcnn_DIP_e12)
Authors: YueCao
Paper Title: mwcnn_DIP_e12
Venue: mwcnn_DIP_e12
Machine Specs: GPU
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RU_sRGB
0
srgb
39.5064
0.9528
0
Submission Details
Submission Name: RU_sRGB
Authors: Kai Zhang (cskaizhang@gmail.com)
Paper Title:
Venue:
Machine Specs: GPU
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DANet
0
srgb
39.4716
0.9548
0.12
Submission Details
Submission Name: DANet
Authors: Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng
Paper Title: Dual Adversarial Network: Toward Real Noise Removal and Noise Generation
Venue: ECCV, 2020
Machine Specs: GPU (GTX 1080Ti)
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AINDNet+TF (git)
0
srgb
39.4584
0.9522
0
Submission Details
Submission Name: AINDNet+TF (git)
Authors: Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho
Paper Title: Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Venue: CVPR 2020
Machine Specs: GPU
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CDNet
0
srgb
39.4482
0.9512
0
Submission Details
Submission Name: CDNet
Authors: Anonymous
Paper Title: Compact Denoising Networks with Only 216K Parameters Based on Nonlocal Feature Grouping and Dynamic Denoising Filtering
Venue:
Machine Specs: GPU
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GradNet
0
srgb
39.4388
0.954
20
Submission Details
Submission Name: GradNet
Authors:
Paper Title: GradNet Image Denoising
Venue:
Machine Specs:
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DUBD-R+
0
srgb
39.435
0.953
0
Submission Details
Submission Name: DUBD-R+
Authors: Jae Woong Soh, Nam Ik Cho
Paper Title: Deep Universal Blind Image Denoising
Venue: ICPR 2020 (Oral)
Machine Specs: GPU
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DRDN
0
srgb
39.4342
0.9531
0
Submission Details
Submission Name: DRDN
Authors: Yuda Song
Paper Title: Dymanic Residual Dense Network for Image Denoising
Venue: –
Machine Specs: GPU
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PRIDNet_sRGB
0
srgb
39.4247
0.9528
0.05
Submission Details
Submission Name: PRIDNet_sRGB
Authors: Yiyun Zhao
Paper Title: Pyramid Real Image Denoising Network
Venue: VCIP(oral) 2019
Machine Specs: NVIDIA GTX 1080ti GPU
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ECSCNet
0
srgb
39.4122
0.9506
1.23456
Submission Details
Submission Name: ECSCNet
Authors: yanglj
Paper Title: ECSCNet
Venue: dnd srgb
Machine Specs: GPU
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VDN
0
srgb
39.383
0.9518
0.004
Submission Details
Submission Name: VDN
Authors: Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng
Paper Title: Variational Denoising Network: Toward Blind Noise Modeling and Removal
Venue: NeurIPS, 2019
Machine Specs: GPU (GTX 1080Ti)
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DUBD-R
0
srgb
39.3788
0.9526
0
Submission Details
Submission Name: DUBD-R
Authors: Jae Woong Soh, Nam Ik Cho
Paper Title: Deep Universal Blind Image Denoising
Venue: ICPR 2020 (Oral)
Machine Specs: GPU
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ECSCNet
0
srgb
39.3739
0.9503
1
Submission Details
Submission Name: ECSCNet
Authors: yanglj
Paper Title: ECSCNet
Venue: denoising
Machine Specs: GPU
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SADNet (1248)
0
srgb
39.3736
0.9544
0.027
Submission Details
Submission Name: SADNet (1248)
Authors: Meng Chang
Paper Title: Spatial-Adaptive Network for Single Image Denoising
Venue:
Machine Specs: GeForce RTX 1080Ti
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AINDNet+TF
0
srgb
39.3729
0.9505
0
Submission Details
Submission Name: AINDNet+TF
Authors: Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho
Paper Title: Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Venue: CVPR 2020
Machine Specs: GPU
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UNet-ND
0
srgb
39.3683
0.9542
0.2
Submission Details
Submission Name: UNet-ND
Authors: Nguyen Duc Manh
Paper Title: HI-GAN: A Hierarchical Generative Adversarial Network for Blind Denoising of Real Photographs
Venue:
Machine Specs: GeForce GTX 1080 Ti/PCIe/SSE2
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f-CDNet
0
srgb
39.3562
0.9506
0
Submission Details
Submission Name: f-CDNet
Authors: Authors
Paper Title: Compact Denoising Networks with Only 216K Parameters Based on Nonlocal Feature Grouping and Dynamic Denoising Filtering
Venue:
Machine Specs: GPU
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HI-GAN
0
srgb
39.3226
0.952
0.2
Submission Details
Submission Name: HI-GAN
Authors: Duc Manh Nguyen
Paper Title: HI-GAN: A Hierarchical Generative Adversarial Network for Blind Denoising of Real Photographs
Venue:
Machine Specs: GeForce GTX 1080 Ti/PCIe/SSE2
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IERD+
0
srgb
39.3032
0.9531
0.1
Submission Details
Submission Name: IERD+
Authors: Saeed Anwar, Cong Phouc Huynh, Fatih Porikli
Paper Title: Identity Enhanced Residual Image Denoising
Venue: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020
Machine Specs: GPU
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SmartDSP
0
srgb
39.302
0.9513
0.01
Submission Details
Submission Name: SmartDSP
Authors: ZENG
Paper Title: Denosing_METHOD
Venue:
Machine Specs: 1080Ti GPU
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DHDN
0
srgb
39.2885
0.9515
0
Submission Details
Submission Name: DHDN
Authors: DHDN
Paper Title: DHDN
Venue: DHDN
Machine Specs: GPU
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RIDNet
0
srgb
39.2555
0.9528
0.1
Submission Details
Submission Name: RIDNet
Authors: Saeed
Paper Title: Real Image Denoising with Feature Attention
Venue: ICCV (Oral), 2019 https://arxiv.org/pdf/1904.07396.pdf
Machine Specs: GPU
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MLDN
0
srgb
39.2311
0.9516
0.48
Submission Details
Submission Name: MLDN
Authors: Wenyi Tang
Paper Title: A Multi-Level Network for Real Image Denoising
Venue:
Machine Specs: NVIDIA Titan X (Maxwell)
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IERD
0
srgb
39.1983
0.9524
0.1
Submission Details
Submission Name: IERD
Authors: Saeed Anwar, Cong Phouc Huynh, Fatih Porikli
Paper Title: Identity Enhanced Residual Image Denoising
Venue: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020
Machine Specs: GPU
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ATDNet
0
srgb
39.1901
0.9526
0.01
Submission Details
Submission Name: ATDNet
Authors: Yoonsik Kim
Paper Title: Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising
Venue: https://ieeexplore.ieee.org/document/8717639
Machine Specs: GPU
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CBDNet + XPrior
0
srgb
39.1518
0.9556
0.4
Submission Details
Submission Name: CBDNet + XPrior
Authors:
Paper Title:
Venue:
Machine Specs:
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DNW-Baseline
0
srgb
39.1503
0.9521
1
Submission Details
Submission Name: DNW-Baseline
Authors: Martin Jaszewski and Shibin Parameswaran
Paper Title: Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks
Venue: IEEE Applied Imagery and Pattern Recognition Workshop 2019
Machine Specs: 2 Intel Xeon E5-2620 v3 CPUs, 128 GB system memory, 1 NVIDIA GeForce GTX 1070
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LDResNet
0
srgb
39.114
0.9486
12
Submission Details
Submission Name: LDResNet
Authors: Sujin Kim
Paper Title: None
Venue: None
Machine Specs: NVIDIA GTX 1080, 8G of RAM
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DRSR_v1.4
0
srgb
39.0941
0.9509
0.257
Submission Details
Submission Name: DRSR_v1.4
Authors: Wenyi Tang
Paper Title:
Venue:
Machine Specs: NVIDIA Titan X (Maxwell)
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COLA-B
0
srgb
39.0711
0.949
1
Submission Details
Submission Name: COLA-B
Authors: Chong Mou
Paper Title: COLA-Net: Collaborative Attention Network for Image Restoration
Venue:
Machine Specs: GPU
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Path-Restore
0
srgb
39.0047
0.9542
0.15
Submission Details
Submission Name: Path-Restore
Authors: Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy
Paper Title: Path-Restore: Learning Network Path Selection for Image Restoration
Venue:
Machine Specs: GPU
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DNW-MNV1
0
srgb
38.9866
0.9513
1
Submission Details
Submission Name: DNW-MNV1
Authors: Martin Jaszewski and Shibin Parameswaran
Paper Title: Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks
Venue: IEEE Applied Imagery and Pattern Recognition Workshop 2019
Machine Specs: 2 Intel Xeon E5-2620 v3 CPUs, 128 GB system memory, 1 NVIDIA GeForce GTX 1070
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WDnCNN+
0
srgb
38.8695
0.9501
0.4
Submission Details
Submission Name: WDnCNN+
Authors: Rui Zhao, Kin-Man Lam, Daniel P.K. Lun
Paper Title: ENHANCEMENT OF A CNN-BASED DENOISER BASED ON SPATIAL AND SPECTRAL ANALYSIS
Venue: ICIP 2019
Machine Specs: GPU
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NLH
0
srgb
38.8532
0.9525
0
Submission Details
Submission Name: NLH
Authors: YIngkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li liu, Fan Zhu, Ling Shao
Paper Title: NLH: A Blind PIxel-level Non-local Method for Real-world Image Denoising
Venue: IEEE Transactions on Image Processing, Accepted, doi:10.1109/TIP.2020.2980116, https://arxiv.org/abs/1960.06834
Machine Specs:
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MPA-Net*
0
srgb
38.8522
0.947
1.9
Submission Details
Submission Name: MPA-Net*
Authors: –
Paper Title: –
Venue: –
Machine Specs: GPU
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GRDN
0
srgb
38.6992
0.9469
0
Submission Details
Submission Name: GRDN
Authors: GRDN
Paper Title: GRDN
Venue: GRDN
Machine Specs: GPU
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C-BSN_DND
0
srgb
38.6004
0.9414
0
Submission Details
Submission Name: C-BSN_DND
Authors: Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho
Paper Title: Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Venue: ICCV 2023
Machine Specs: GPU
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UNet-D
0
srgb
38.585
0.9467
0.2
Submission Details
Submission Name: UNet-D
Authors: Nguyen Duc Manh
Paper Title: HI-GAN: A Hierarchical Generative Adversarial Network for Blind Denoising of Real Photographs
Venue:
Machine Specs: GeForce GTX 1080 Ti/PCIe/SSE2
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SDAP (S)(E)
0
srgb
38.5632
0.9402
1
Submission Details
Submission Name: SDAP (S)(E)
Authors: Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren
Paper Title: Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Venue: ICCV 2023
Machine Specs: gpu
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AMSNet-SE
0
srgb
38.5237
0.9402
111
Submission Details
Submission Name: AMSNet-SE
Authors: liaoxiangyu
Paper Title: AMSNet
Venue:
Machine Specs: GPU
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SS-BSN(self-ensemble)
0
srgb
38.4577
0.9397
0
Submission Details
Submission Name: SS-BSN(self-ensemble)
Authors: Young Joo HAN
Paper Title:
Venue: University of Seoul
Machine Specs: GPU
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C-BSN_SIDD
0
srgb
38.4502
0.9392
0
Submission Details
Submission Name: C-BSN_SIDD
Authors: Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho
Paper Title: Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Venue: ICCV 2023
Machine Specs: GPU
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AMSNet-MSE
0
srgb
38.435
0.94
111
Submission Details
Submission Name: AMSNet-MSE
Authors: liaoxiangyu
Paper Title: AMSNet
Venue:
Machine Specs: GPU
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NAFNet-text
0
srgb
38.4198
0.9435
1
Submission Details
Submission Name: NAFNet-text
Authors: liangyu chen
Paper Title: Simple Baselines for Image Restoration
Venue:
Machine Specs:
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Pixel-shuffle Downsampling
0
srgb
38.4005
0.9452
0
Submission Details
Submission Name: Pixel-shuffle Downsampling
Authors: Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas Huang
Paper Title: When AWGN-based Denoiser Meets Real Noises
Venue: AAAI2020
Machine Specs: GPU
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AMSNet-E
0
srgb
38.3877
0.939
111
Submission Details
Submission Name: AMSNet-E
Authors: liaoxiangyu
Paper Title: AMSNet
Venue:
Machine Specs: GPU
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SDAP (S)
0
srgb
38.1785
0.9322
1
Submission Details
Submission Name: SDAP (S)
Authors: Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren
Paper Title: Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Venue: ICCV 2023
Machine Specs: gpu
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AP-BSN + R^3
0
srgb
38.0936
0.9368
0
Submission Details
Submission Name: AP-BSN + R^3
Authors: Wooseok Lee, Sanghyun Son and Kyoung Mu Lee
Paper Title: AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Venue: CVPR2022
Machine Specs: GPU
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CBDNet
0
srgb
38.0564
0.9421
0.4
Submission Details
Submission Name: CBDNet
Authors: Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo and Lei Zhang
Paper Title: Toward Convolutional Blind Denoising of Real Photographs
Venue:
Machine Specs: GPU
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DSSNet
0
srgb
38.0391
0.9358
0
Submission Details
Submission Name: DSSNet
Authors:
Paper Title:
Venue:
Machine Specs:
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TWSC
0
srgb
37.9643
0.9416
0
Submission Details
Submission Name: TWSC
Authors: Xu, Jun; Zhang, Lei; Zhang, David
Paper Title: A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Venue: ECCV 2018
Machine Specs: CPU
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DnCNN+
0
srgb
37.9018
0.943
0.05
Submission Details
Submission Name: DnCNN+
Authors: Zhang, Kai and Zuo, Wangmeng and Chen, Yunjin and Meng, Deyu and Zhang, Lei
Paper Title: Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Venue: IEEE TIP, 2017. Fine-tuned on CDnCNN_blind with the results of FFDNet+. Email: cskaizhang@gmail.com
Machine Specs: GPU
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BM3D G
0
srgb
37.8654
0.9342
3.47
Submission Details
Submission Name: BM3D G
Authors: Graham Treece
Paper Title:
Venue: University of Cambridge
Machine Specs: Intel Core i7 1185G7 @ 3.00GHz, 32 GB RAM
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SDAP (E)
0
srgb
37.8562
0.9366
1
Submission Details
Submission Name: SDAP (E)
Authors: Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren
Paper Title: Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Venue: ICCV 2023
Machine Specs: GPU
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Bitonic MX
0
srgb
37.8547
0.936
7.49
Submission Details
Submission Name: Bitonic MX
Authors: Graham Treece
Paper Title:
Venue: University of Cambridge
Machine Specs: Intel Core i7 1185G7 @ 3.00GHz, 32 GB RAM
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DNW-AMC
0
srgb
37.7682
0.9292
1
Submission Details
Submission Name: DNW-AMC
Authors: Martin Jaszewski and Shibin Parameswaran
Paper Title: Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks
Venue: IEEE Applied Imagery and Pattern Recognition Workshop 2019
Machine Specs: 2 Intel Xeon E5-2620 v3 CPUs, 128 GB system memory, 1 NVIDIA GeForce GTX 1070
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SS-BSN
0
srgb
37.7235
0.9283
0
Submission Details
Submission Name: SS-BSN
Authors: Young Joo HAN
Paper Title:
Venue: University of Seoul
Machine Specs: GPU
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blur_P3(denoising_4)
0
srgb
37.7099
0.9402
0
Submission Details
Submission Name: blur_P3(denoising_4)
Authors: denoising
Paper Title: denoising
Venue: denoising
Machine Specs: gpu
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SDAP
0
srgb
37.7095
0.9278
1
Submission Details
Submission Name: SDAP
Authors: Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren
Paper Title: Random Sub-Samples Generation for Self-Supervised Real Image Denoising
Venue: ICCV 2023
Machine Specs: GPU
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FFDNet+
0
srgb
37.6107
0.9415
0
Submission Details
Submission Name: FFDNet+
Authors: Zhang, Kai and Zuo, Wangmeng and Zhang, Lei
Paper Title: FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Venue: IEEE TIP, 2018. Multiscale FFDNet with manually selected uniform noise level map. Better results can be obtained with non-uniform noise level map. Email: cskaizhang@gmail.com
Machine Specs:
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AP-BSN
0
srgb
37.4601
0.9244
0
Submission Details
Submission Name: AP-BSN
Authors: Wooseok Lee, Sanghyun Son and Kyoung Mu Lee
Paper Title: AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Venue: CVPR2022
Machine Specs: GPU
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MCWNNM
0
srgb
37.379
0.9294
0
Submission Details
Submission Name: MCWNNM
Authors: Jun Xu , Lei Zhang , David Zhang , Xiangchu Feng
Paper Title: Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Venue: ICCV, 2017
Machine Specs:
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LBD
0
srgb
37.3233
0.9431
0
Submission Details
Submission Name: LBD
Authors:
Paper Title: Submit to CVPR2019
Venue:
Machine Specs: GPU
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AMSNet-MS
0
srgb
37.2904
0.9196
111
Submission Details
Submission Name: AMSNet-MS
Authors: liaoxiangyu
Paper Title: AMSNet
Venue:
Machine Specs: GPU
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C2N(SD)_DIDN
0
srgb
37.2808
0.9237
0
Submission Details
Submission Name: C2N(SD)_DIDN
Authors: Geonwoon Jang*, Wooseok Lee*, Sanghyun Son. Kyoung Mu Lee
Paper Title: C2N: Practical Generative Noise Modeling for Real-World Denoising
Venue:
Machine Specs: GPU
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ULBD
0
srgb
37.2179
0.9341
0.01
Submission Details
Submission Name: ULBD
Authors:
Paper Title:
Venue:
Machine Specs:
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Nonblind_MCD
0
srgb
37.1976
0.9361
0
Submission Details
Submission Name: Nonblind_MCD
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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MCD
0
srgb
37.12
0.9353
0
Submission Details
Submission Name: MCD
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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Unsupervised Denoising
0
srgb
37.1034
0.9441
0
Submission Details
Submission Name: Unsupervised Denoising
Authors: Dihan Zheng , Sia Huat Tan , Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Paper Title: An Unsupervised Deep Approach for Real World Image Denoising
Venue: ICLR2021
Machine Specs: GPU
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128-DnCNN tensorflow
0
srgb
37.0343
0.9324
0.04
Submission Details
Submission Name: 128-DnCNN tensorflow
Authors:
Paper Title:
Venue:
Machine Specs: NVIDIA Titan X
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SCD
0
srgb
36.9453
0.9299
0
Submission Details
Submission Name: SCD
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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Noise2Variance(p=7)
0
srgb
36.9284
0.9281
0.43
Submission Details
Submission Name: Noise2Variance(p=7)
Authors: Hanlin Tan, et. al.
Paper Title: Noise2Variance: Dual Networks with Variance Constraint for Self-supervised Real-world Image Denoising
Venue: None
Machine Specs: GPU
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Noise2Variance
0
srgb
36.9223
0.9284
0.43
Submission Details
Submission Name: Noise2Variance
Authors: Hanlin Tan et. al.
Paper Title: Noise2Variance: Dual Networks with Variance Constraint for Self-supervised Real-world Image Denoising
Venue: None
Machine Specs: GPU
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Noise2Code
0
srgb
36.7977
0.9223
-1
Submission Details
Submission Name: Noise2Code
Authors:
Paper Title:
Venue:
Machine Specs: GPU
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BM3D (no G)
0
srgb
36.7885
0.912
3.43
Submission Details
Submission Name: BM3D (no G)
Authors: Graham Treece
Paper Title:
Venue: University of Cambridge
Machine Specs: Intel Core i7 1185G7 @ 3.00GHz, 32 GB RAM
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LYMNet-R
0
srgb
36.5765
0.9246
0
Submission Details
Submission Name: LYMNet-R
Authors:
Paper Title:
Venue:
Machine Specs:
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CVF-SID (S^2)
0
srgb
36.5038
0.9233
-1
Submission Details
Submission Name: CVF-SID (S^2)
Authors:
Paper Title: CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
Venue:
Machine Specs: Quadro RTX 8000 GPUs
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CVF-SID (S)
0
srgb
36.4912
0.9241
-1
Submission Details
Submission Name: CVF-SID (S)
Authors:
Paper Title: CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
Venue:
Machine Specs: Quadro RTX 8000 GPUs
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KSVD
0
srgb
36.49
0.8978
Submission Details
Submission Name: KSVD
Authors: M. Aharon, M. Elad, and A. Bruckstein
Paper Title: K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
Venue: IEEE Trans. on Image Processing 2006
Machine Specs:
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CVF-SID (T)
0
srgb
36.3077
0.9232
-1
Submission Details
Submission Name: CVF-SID (T)
Authors:
Paper Title: CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
Venue:
Machine Specs: Quadro RTX 8000 GPUs
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MPI
0
srgb
36.2436
0.9162
30
Submission Details
Submission Name: MPI
Authors: …
Paper Title:
Venue:
Machine Specs: GPU
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NAC
0
srgb
36.1987
0.9252
0
Submission Details
Submission Name: NAC
Authors:
Paper Title: Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image
Venue:
Machine Specs: gpu
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DPN
0
srgb
36.1183
0.9194
600
Submission Details
Submission Name: DPN
Authors: Malei
Paper Title:
Venue:
Machine Specs: GPU
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DRNet
0
srgb
35.8881
0.9351
0
Submission Details
Submission Name: DRNet
Authors: FuYuan, Cien Fan, Lian Zou, Ye Yang
Paper Title:
Venue:
Machine Specs: GPU
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GCBD
0
srgb
35.5796
0.9217
Submission Details
Submission Name: GCBD
Authors:
Paper Title:
Venue:
Machine Specs:
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NC
0
srgb
35.434
0.8841
18.5
Submission Details
Submission Name: NC
Authors: Provided by authors of NLH
Paper Title: Noise Clinic
Venue: NA
Machine Specs:
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MPI_faster
0
srgb
35.3976
0.9094
7
Submission Details
Submission Name: MPI_faster
Authors: …
Paper Title:
Venue:
Machine Specs: GPU
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NI
0
srgb
35.1125
0.8778
1.2
Submission Details
Submission Name: NI
Authors: Provided by the authors of NLH
Paper Title: Neat Image Software
Venue: https://ni.neatvideo.com/
Machine Specs: CPU
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DenoiseNet
0
srgb
35.0802
0.868
0.33
Submission Details
Submission Name: DenoiseNet
Authors: Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein
Paper Title: Deep class-aware image denoising
Venue: ICIP 2017
Machine Specs: GPU
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WNNM
0
srgb
34.67
0.8646
Submission Details
Submission Name: WNNM
Authors: S. Gu, L. Zhang, W. Zuo, and X. Feng
Paper Title: Weighted nuclear norm minimization with application to image denoising
Venue: CVPR 2014
Machine Specs:
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FoE
0
srgb
34.62
0.8845
Submission Details
Submission Name: FoE
Authors: S. Roth and M. J. Black
Paper Title: Fields of experts
Venue: IJCV 2009
Machine Specs:
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advect_run_sRGB_02
0
srgb
34.5311
0.8763
1
Submission Details
Submission Name: advect_run_sRGB_02
Authors: vincent jaouen
Paper Title:
Venue:
Machine Specs: CPU
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BM3D
0
srgb
34.51
0.8507
Submission Details
Submission Name: BM3D
Authors: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian
Paper Title: Image denoising by sparse 3-D transform-domain collaborative filtering
Venue: IEEE Trans. on Image Processing 2007
Machine Specs:
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MLP
0
srgb
34.23
0.8331
Submission Details
Submission Name: MLP
Authors: H. C. Burger, C. J. Schuler, and S. Harmeling
Paper Title: Image denoising: Can plain neural networks compete with BM3D?
Venue: CVPR 2012
Machine Specs:
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NCSR
0
srgb
34.05
0.8351
Submission Details
Submission Name: NCSR
Authors: W. Dong, L. Zhang, G. Shi, and X. Li
Paper Title: Nonlocally centralized sparse representation for image restoration
Venue: IEEE Trans. on Image Processing 2013
Machine Specs:
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TNRD
0
srgb
33.65
0.8306
Submission Details
Submission Name: TNRD
Authors: Y. Chen, W. Yu, and T. Pock
Paper Title: On learning optimized reaction diffusion processes for effective image restoration
Venue: CVPR 2015
Machine Specs:
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EPLL
0
srgb
33.51
0.8244
Submission Details
Submission Name: EPLL
Authors: D. Zoran and Y. Weiss
Paper Title: From learning models of natural image patches to whole image restoration
Venue: ICCV 2011
Machine Specs:
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test2
0
srgb
32.4898
0.8856
0
Submission Details
Submission Name: test2
Authors:
Paper Title:
Venue:
Machine Specs:
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shuffle_local
0
srgb
32.4898
0.8856
0
Submission Details
Submission Name: shuffle_local
Authors: H. C
Paper Title: shuffle_local
Venue: CVPR
Machine Specs: GPU
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Original Noisy
0
srgb
29.836
0.7018
0
Submission Details
Submission Name: Original Noisy
Authors: Provided by the authors of NLH
Paper Title: NLH
Venue: CPU
Machine Specs:
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