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/SFT-GAN

SFT-GAN

Reported on 16 benchmarks across 4 tasks · 1 paper

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

Computer Vision8 results

Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-04-09
26.13
best: 29.54 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-04-09
0.694
best: 0.894 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Image Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-04-09
25.33
best: 28.16 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Image Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-04-09
0.651
best: 0.851 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-04-09
26.13
best: 29.54 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-04-09
0.694
best: 0.894 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
3D Object Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-04-09
25.33
best: 28.16 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
3D Object Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-04-09
0.651
best: 0.851 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815

Graphs4 results

Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-04-09
26.13
best: 29.54 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-04-09
0.694
best: 0.894 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-04-09
25.33
best: 28.16 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-04-09
0.651
best: 0.851 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815

Methodology4 results

16konSet14 - 4x upscaling
PSNR· 2018-04-09
26.13
best: 29.54 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
16konSet14 - 4x upscaling
SSIM· 2018-04-09
0.694
best: 0.894 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
16konBSD100 - 4x upscaling
PSNR· 2018-04-09
25.33
best: 28.16 (DRCT-L)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815
16konBSD100 - 4x upscaling
SSIM· 2018-04-09
0.651
best: 0.851 (Edge-informed SR)
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform arXiv:1804.02815