Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ST-CGAN (CVPR 2018) (512x512)

ST-CGAN (CVPR 2018) (512x512)

Reported on 12 benchmarks across 3 tasks · 1 paper · 12 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

Image EditingonISTD+
LPIPS· 2017-12-07
0.252
best: 0.183 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Image EditingonISTD+
PSNR· 2017-12-07
27.32
best: 28.53 (HomoFormer (CVPR 2024) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Image EditingonISTD+
RMSE· 2017-12-07
3.36
best: 2.53 (RASM)
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Image EditingonISTD+
SSIM· 2017-12-07
0.829
best: 0.866 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Shadow RemovalonISTD+
LPIPS· 2017-12-07
0.252
best: 0.183 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Shadow RemovalonISTD+
PSNR· 2017-12-07
27.32
best: 28.53 (HomoFormer (CVPR 2024) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Shadow RemovalonISTD+
RMSE· 2017-12-07
3.36
best: 2.53 (RASM)
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
Shadow RemovalonISTD+
SSIM· 2017-12-07
0.829
best: 0.866 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478

Methodology4 results

16konISTD+
LPIPS· 2017-12-07
0.252
best: 0.183 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
16konISTD+
PSNR· 2017-12-07
27.32
best: 28.53 (HomoFormer (CVPR 2024) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
16konISTD+
RMSE· 2017-12-07
3.36
best: 2.53 (RASM)
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478
16konISTD+
SSIM· 2017-12-07
0.829
best: 0.866 (SP+M-Net (ICCV 2019) (512x512))
SOTA
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal arXiv:1712.02478