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Models/IDM

IDM

Reported on 20 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Computer Vision10 results

Image Super-ResolutiononCelebA-HQ 128x128
PSNR· 2023-03-29
24.01
best: 24.09 (TSRGP)
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Image Super-ResolutiononCelebA-HQ 128x128
SSIM· 2023-03-29
0.71
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
3D Object Super-ResolutiononCelebA-HQ 128x128
PSNR· 2023-03-29
24.01
best: 24.09 (TSRGP)
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
3D Object Super-ResolutiononCelebA-HQ 128x128
SSIM· 2023-03-29
0.71
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Image Super-ResolutiononCelebA-HQ 128x128
Consistency· 2023-03-29
2.14
best: 2.68 (SR3)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Image Super-ResolutiononDIV2K val - 4x upscaling
PSNR· uses extra data· 2023-03-29
27.59
best: 29.25 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Image Super-ResolutiononDIV2K val - 4x upscaling
SSIM· uses extra data· 2023-03-29
0.78
best: 0.9017 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
3D Object Super-ResolutiononCelebA-HQ 128x128
Consistency· 2023-03-29
2.14
best: 2.68 (SR3)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
3D Object Super-ResolutiononDIV2K val - 4x upscaling
PSNR· uses extra data· 2023-03-29
27.59
best: 29.25 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
3D Object Super-ResolutiononDIV2K val - 4x upscaling
SSIM· uses extra data· 2023-03-29
0.78
best: 0.9017 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491

Graphs5 results

Super-ResolutiononCelebA-HQ 128x128
PSNR· 2023-03-29
24.01
best: 24.09 (TSRGP)
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Super-ResolutiononCelebA-HQ 128x128
SSIM· 2023-03-29
0.71
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Super-ResolutiononCelebA-HQ 128x128
Consistency· 2023-03-29
2.14
best: 2.68 (SR3)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Super-ResolutiononDIV2K val - 4x upscaling
PSNR· uses extra data· 2023-03-29
27.59
best: 29.25 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
Super-ResolutiononDIV2K val - 4x upscaling
SSIM· uses extra data· 2023-03-29
0.78
best: 0.9017 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491

Methodology5 results

16konCelebA-HQ 128x128
PSNR· 2023-03-29
24.01
best: 24.09 (TSRGP)
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
16konCelebA-HQ 128x128
SSIM· 2023-03-29
0.71
SOTA
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
16konCelebA-HQ 128x128
Consistency· 2023-03-29
2.14
best: 2.68 (SR3)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
16konDIV2K val - 4x upscaling
PSNR· uses extra data· 2023-03-29
27.59
best: 29.25 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491
16konDIV2K val - 4x upscaling
SSIM· uses extra data· 2023-03-29
0.78
best: 0.9017 (EDSR)
Implicit Diffusion Models for Continuous Super-Resolution arXiv:2303.16491