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9.22k
Image Generation
ImageNet 64x64
GLIDE +CLS
https://arxiv.org/abs/2210.11522v1
KID
7.952
Image Generation
Oxford 102 Flowers 256 x 256
Projected GAN
https://arxiv.org/abs/2111.01007v1
FID
3.86
Image Generation
Oxford 102 Flowers 256 x 256
MSG-StyleGAN
https://arxiv.org/abs/1903.06048v4
FID
19.60
Image Generation
LLVIP
pix2pix
https://arxiv.org/abs/2108.10831v4
PSNR
10.769
Image Generation
LLVIP
pix2pix
https://arxiv.org/abs/2108.10831v4
SSIM
0.1757
Image Generation
VLN-CE
GAUDI
https://arxiv.org/abs/2207.13751v1
FID
18.52
Image Generation
VLN-CE
GAUDI
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
3.63
Image Generation
VLN-CE
GSN
https://arxiv.org/abs/2207.13751v1
FID
43.32
Image Generation
VLN-CE
GSN
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
6.19
Image Generation
VLN-CE
GRAF
https://arxiv.org/abs/2207.13751v1
FID
90.43
Image Generation
VLN-CE
GRAF
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
8.65
Image Generation
VLN-CE
π-GAN
https://arxiv.org/abs/2207.13751v1
FID
151.26
Image Generation
VLN-CE
π-GAN
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
14.07
Image Generation
VizDoom
GAUDI
https://arxiv.org/abs/2207.13751v1
FID
33.7
Image Generation
VizDoom
GAUDI
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
3.24
Image Generation
VizDoom
GSN
https://arxiv.org/abs/2207.13751v1
FID
37.21
Image Generation
VizDoom
GSN
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
4.56
Image Generation
VizDoom
GRAF
https://arxiv.org/abs/2207.13751v1
FID
47.5
Image Generation
VizDoom
GRAF
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
5.44
Image Generation
VizDoom
π-GAN
https://arxiv.org/abs/2207.13751v1
FID
143.55
Image Generation
VizDoom
π-GAN
https://arxiv.org/abs/2207.13751v1
FID (SwAV)
15.26
Image Generation
AFHQ Dog
Projected GAN
https://arxiv.org/abs/2111.01007v1
FID
4.52
Image Generation
AFHQ Dog
Vision-aided GAN
https://arxiv.org/abs/2112.09130v3
clean-KID
0.38 ± .01
Image Generation
AFHQ Dog
Vision-aided GAN
https://arxiv.org/abs/2112.09130v3
clean-FID
4.73 ± .02
Image Generation
AFHQ Dog
Vision-aided GAN
https://arxiv.org/abs/2112.09130v3
FID
4.60
Image Generation
AFHQ Dog
Diffusion InsGen
https://arxiv.org/abs/2206.02262v4
FID
4.83
Image Generation
AFHQ Dog
StyleGAN2-ADA
https://arxiv.org/abs/2006.06676v2
clean-KID
1.28 ± .02
Image Generation
AFHQ Dog
StyleGAN2-ADA
https://arxiv.org/abs/2006.06676v2
clean-FID
7.61 ± .02
Image Generation
AFHQ Dog
StyleGAN2-ADA
https://arxiv.org/abs/2006.06676v2
FID
7.41
Image Generation
AFHQ Dog
DDMI
https://arxiv.org/abs/2401.12517v2
FID
8.54
Image Generation
AFHQ Dog
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE Signature
38861
Image Generation
AFHQ Dog
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE log-signature
31686
Image Generation
AFHQ Dog
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE Signature
30441
Image Generation
AFHQ Dog
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE log-signature
24612
Image Generation
ImageNet 256x256 - 1% labeled data
DPT
null
FID-50k
3.35
Image Generation
ImageNet 256x256 - 1% labeled data
DPT
null
sFID
6.66
Image Generation
ImageNet 256x256 - 1% labeled data
DPT
null
IS
223.09
Image Generation
ImageNet 256x256 - 1% labeled data
DPT
null
Precision
0.83
Image Generation
ImageNet 256x256 - 1% labeled data
DPT
null
Recall
0.52
Image Generation
FFHQ-U
Alias-Free-R
https://arxiv.org/abs/2106.12423v4
FID
3.66
Image Generation
FFHQ-U
Alias-Free-R
https://arxiv.org/abs/2106.12423v4
EQ-T
64.78
Image Generation
FFHQ-U
Alias-Free-R
https://arxiv.org/abs/2106.12423v4
EQ-R
47.64
Image Generation
FFHQ-U
Alias-Free-T
https://arxiv.org/abs/2106.12423v4
FID
3.67
Image Generation
FFHQ-U
Alias-Free-T
https://arxiv.org/abs/2106.12423v4
EQ-T
61.69
Image Generation
FFHQ-U
Alias-Free-T
https://arxiv.org/abs/2106.12423v4
EQ-R
13.95
Image Generation
FFHQ-U
StyleGAN2 (70000 img, 1024^2, train from scratch)
https://arxiv.org/abs/2106.12423v4
FID
3.79
Image Generation
FFHQ-U
StyleGAN2 (70000 img, 1024^2, train from scratch)
https://arxiv.org/abs/2106.12423v4
EQ-T
15.89
Image Generation
FFHQ-U
StyleGAN2 (70000 img, 1024^2, train from scratch)
https://arxiv.org/abs/2106.12423v4
EQ-R
10.79
Image Generation
FFHQ-U
StyleGAN2 + Rotation equiv. (Alias-Free-R)
https://arxiv.org/abs/2106.12423v4
FID
4.50
Image Generation
FFHQ-U
StyleGAN2 + Rotation equiv. (Alias-Free-R)
https://arxiv.org/abs/2106.12423v4
EQ-T
66.65
Image Generation
FFHQ-U
StyleGAN2 + Rotation equiv. (Alias-Free-R)
https://arxiv.org/abs/2106.12423v4
EQ-R
40.48
Image Generation
FFHQ-U
StyleGAN2 + No noise inputs
https://arxiv.org/abs/2106.12423v4
FID
4.54
Image Generation
FFHQ-U
StyleGAN2 + No noise inputs
https://arxiv.org/abs/2106.12423v4
EQ-T
15.81
Image Generation
FFHQ-U
StyleGAN2 + No noise inputs
https://arxiv.org/abs/2106.12423v4
EQ-R
10.84
Image Generation
FFHQ-U
StyleGAN2 + Flexible layers (Alias-Free-T)
https://arxiv.org/abs/2106.12423v4
FID
4.62
Image Generation
FFHQ-U
StyleGAN2 + Flexible layers (Alias-Free-T)
https://arxiv.org/abs/2106.12423v4
EQ-T
63.01
Image Generation
FFHQ-U
StyleGAN2 + Flexible layers (Alias-Free-T)
https://arxiv.org/abs/2106.12423v4
EQ-R
13.12
Image Generation
FFHQ-U
StyleGAN2 + Transformed Fourier features
https://arxiv.org/abs/2106.12423v4
FID
4.64
Image Generation
FFHQ-U
StyleGAN2 + Transformed Fourier features
https://arxiv.org/abs/2106.12423v4
EQ-T
45.20
Image Generation
FFHQ-U
StyleGAN2 + Transformed Fourier features
https://arxiv.org/abs/2106.12423v4
EQ-R
10.61
Image Generation
FFHQ-U
StyleGAN2 + Non-critical sampling
https://arxiv.org/abs/2106.12423v4
FID
4.78
Image Generation
FFHQ-U
StyleGAN2 + Non-critical sampling
https://arxiv.org/abs/2106.12423v4
EQ-T
43.90
Image Generation
FFHQ-U
StyleGAN2 + Non-critical sampling
https://arxiv.org/abs/2106.12423v4
EQ-R
10.84
Image Generation
FFHQ-U
StyleGAN2 + Fourier features
https://arxiv.org/abs/2106.12423v4
FID
4.79
Image Generation
FFHQ-U
StyleGAN2 + Fourier features
https://arxiv.org/abs/2106.12423v4
EQ-T
16.23
Image Generation
FFHQ-U
StyleGAN2 + Fourier features
https://arxiv.org/abs/2106.12423v4
EQ-R
10.81
Image Generation
FFHQ-U
StyleGAN2
https://arxiv.org/abs/2106.12423v4
FID
5.14
Image Generation
FFHQ-U
StyleGAN2 + Simplified generator
https://arxiv.org/abs/2106.12423v4
FID
5.21
Image Generation
FFHQ-U
StyleGAN2 + Simplified generator
https://arxiv.org/abs/2106.12423v4
EQ-T
19.47
Image Generation
FFHQ-U
StyleGAN2 + Simplified generator
https://arxiv.org/abs/2106.12423v4
EQ-R
10.41
Image Generation
FFHQ-U
StyleGAN2 + Boundaries & upsampling
https://arxiv.org/abs/2106.12423v4
FID
6.02
Image Generation
FFHQ-U
StyleGAN2 + Boundaries & upsampling
https://arxiv.org/abs/2106.12423v4
EQ-T
24.62
Image Generation
FFHQ-U
StyleGAN2 + Boundaries & upsampling
https://arxiv.org/abs/2106.12423v4
EQ-R
10.97
Image Generation
FFHQ-U
StyleGAN2 + Filtered nonlinearities
https://arxiv.org/abs/2106.12423v4
FID
6.35
Image Generation
FFHQ-U
StyleGAN2 + Filtered nonlinearities
https://arxiv.org/abs/2106.12423v4
EQ-T
30.60
Image Generation
FFHQ-U
StyleGAN2 + Filtered nonlinearities
https://arxiv.org/abs/2106.12423v4
EQ-R
10.81
Image Generation
Places50
SinDiffusion
https://arxiv.org/abs/2211.12445v1
SIFID
0.06
Image Generation
Places50
SinDiffusion
https://arxiv.org/abs/2211.12445v1
LPIPS
0.387
Image Generation
Places50
ConSinGAN
https://arxiv.org/abs/2211.12445v1
SIFID
0.06
Image Generation
Places50
ConSinGAN
https://arxiv.org/abs/2211.12445v1
LPIPS
0.305
Image Generation
Places50
SinGan
https://arxiv.org/abs/2211.12445v1
SIFID
0.09
Image Generation
Places50
SinGan
https://arxiv.org/abs/2211.12445v1
LPIPS
0.266
Image Generation
Places50
GPNN
https://arxiv.org/abs/2211.12445v1
SIFID
0.07
Image Generation
Places50
GPNN
https://arxiv.org/abs/2211.12445v1
LPIPS
0.256
Image Generation
Places50
ExSinGAN
https://arxiv.org/abs/2211.12445v1
SIFID
0.1
Image Generation
Places50
ExSinGAN
https://arxiv.org/abs/2211.12445v1
LPIPS
0.248
Image Generation
LSUN Bedroom 64 x 64
WGAN-GP + TTUR + Alex-Adam
https://arxiv.org/abs/2402.10475v2
FID
6.3
Image Generation
LSUN Bedroom 64 x 64
WGAN-GP + TT Update Rule
http://arxiv.org/abs/1706.08500v6
FID
9.5
Image Generation
LSUN Bedroom 64 x 64
FOGAN
http://arxiv.org/abs/1802.04591v2
FID
11.4
Image Generation
ImageNet 256x256 - 2 labeled data per class
DPT
null
FID-50k
3.44
Image Generation
ImageNet 256x256 - 2 labeled data per class
DPT
null
sFID
6.58
Image Generation
ImageNet 256x256 - 2 labeled data per class
DPT
null
IS
199.74
Image Generation
ImageNet 256x256 - 2 labeled data per class
DPT
null
Precision
0.82
Image Generation
ImageNet 256x256 - 2 labeled data per class
DPT
null
Recall
0.53
Image Generation
Stacked MNIST
VAEBM
https://arxiv.org/abs/2010.00654v3
FID
12.96
Image Generation
Stacked MNIST
VAEBM
https://arxiv.org/abs/2010.00654v3
Inception score
8.15
Image Generation
Stacked MNIST
PresGAN
https://arxiv.org/abs/1910.04302v1
FID
23.965
Image Generation
Stacked MNIST
EBM on x
http://papers.nips.cc/paper/8619-implicit-generation-and-modeling-with-energy-based-models
FID
48.89
Image Generation
Stacked MNIST
EBM on x
http://papers.nips.cc/paper/8619-implicit-generation-and-modeling-with-energy-based-models
Inception score
5.85
Image Generation
Stanford Cars
Projected GANs
https://arxiv.org/abs/2111.01007v1
FID
2.09