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9.22k
Image Generation
FFHQ 256 x 256
Efficient-vdVAE (Exposing)
https://arxiv.org/abs/2306.04675v2
FD
514.16
Image Generation
FFHQ 256 x 256
Efficient-vdVAE (Exposing)
https://arxiv.org/abs/2306.04675v2
Precision
0.86
Image Generation
FFHQ 256 x 256
Efficient-vdVAE (Exposing)
https://arxiv.org/abs/2306.04675v2
Recall
0.14
Image Generation
FFHQ 256 x 256
Efficient-vdVAE (Exposing)
https://arxiv.org/abs/2306.04675v2
Density
1.04
Image Generation
FFHQ 256 x 256
Efficient-vdVAE (Exposing)
https://arxiv.org/abs/2306.04675v2
Coverage
0.54
Image Generation
FFHQ 256 x 256
Efficient-VDVAE
https://arxiv.org/abs/2203.13751v2
FID
34.88
Image Generation
FFHQ 256 x 256
Efficient-VDVAE
https://arxiv.org/abs/2203.13751v2
bits/dimension
0.53
Image Generation
FFHQ 256 x 256
LDM (DINOv2)
null
FD
112.40
Image Generation
FFHQ 256 x 256
LDM (DINOv2)
null
Precision
0.92
Image Generation
FFHQ 256 x 256
LDM (DINOv2)
null
Recall
0.76
Image Generation
FFHQ 256 x 256
StyleNAT (DINOv2)
https://arxiv.org/abs/2211.05770v2
FD
229.72
Image Generation
FFHQ 256 x 256
StyleNAT (DINOv2)
https://arxiv.org/abs/2211.05770v2
Precision
0.79
Image Generation
FFHQ 256 x 256
StyleNAT (DINOv2)
https://arxiv.org/abs/2211.05770v2
Recall
0.41
Image Generation
FFHQ 256 x 256
StyleGAN-XL (DINOv2)
https://arxiv.org/abs/2202.00273v2
FD
240.07
Image Generation
FFHQ 256 x 256
StyleGAN-XL (DINOv2)
https://arxiv.org/abs/2202.00273v2
Precision
0.77
Image Generation
FFHQ 256 x 256
StyleGAN-XL (DINOv2)
https://arxiv.org/abs/2202.00273v2
Recall
0.43
Image Generation
FFHQ 256 x 256
StyleSwin (DINOv2)
https://arxiv.org/abs/2112.10762v2
FD
300.18
Image Generation
FFHQ 256 x 256
StyleSwin (DINOv2)
https://arxiv.org/abs/2112.10762v2
Precision
0.79
Image Generation
FFHQ 256 x 256
StyleSwin (DINOv2)
https://arxiv.org/abs/2112.10762v2
Recall
0.28
Image Generation
FFHQ 256 x 256
Unleashing Transformers (DINOv2)
https://arxiv.org/abs/2111.12701v1
FD
393.45
Image Generation
FFHQ 256 x 256
Unleashing Transformers (DINOv2)
https://arxiv.org/abs/2111.12701v1
Precision
0.76
Image Generation
FFHQ 256 x 256
Unleashing Transformers (DINOv2)
https://arxiv.org/abs/2111.12701v1
Recall
0.24
Image Generation
FFHQ 256 x 256
InsGen (DINOv2)
https://arxiv.org/abs/2106.04566v1
FD
436.26
Image Generation
FFHQ 256 x 256
InsGen (DINOv2)
https://arxiv.org/abs/2106.04566v1
Precision
0.64
Image Generation
FFHQ 256 x 256
InsGen (DINOv2)
https://arxiv.org/abs/2106.04566v1
Recall
0.13
Image Generation
FFHQ 256 x 256
Efficient-VDVAE (DINOv2)
https://arxiv.org/abs/2203.13751v2
FD
514.16
Image Generation
FFHQ 256 x 256
Efficient-VDVAE (DINOv2)
https://arxiv.org/abs/2203.13751v2
Precision
0.86
Image Generation
FFHQ 256 x 256
Efficient-VDVAE (DINOv2)
https://arxiv.org/abs/2203.13751v2
Recall
0.14
Image Generation
FFHQ 256 x 256
StyleGAN2 + ADA (DINOv2)
https://arxiv.org/abs/2006.06676v2
FD
514.78
Image Generation
FFHQ 256 x 256
StyleGAN2 + ADA (DINOv2)
https://arxiv.org/abs/2006.06676v2
Precision
0.59
Image Generation
FFHQ 256 x 256
StyleGAN2 + ADA (DINOv2)
https://arxiv.org/abs/2006.06676v2
Recall
0.06
Image Generation
FFHQ 256 x 256
Projected-GAN (DINOv2)
null
FD
592.26
Image Generation
FFHQ 256 x 256
Projected-GAN (DINOv2)
null
Precision
0.57
Image Generation
FFHQ 256 x 256
Projected-GAN (DINOv2)
null
Recall
0.07
Image Generation
FFHQ 256 x 256
Very Deep VAE
https://arxiv.org/abs/2011.10650v2
bits/dimension
0.61
Image Generation
FFHQ 256 x 256
NVAE w/ flow
https://arxiv.org/abs/2007.03898v3
bits/dimension
0.69
Image Generation
CelebA-HQ 1024x1024
StyleSwin
https://arxiv.org/abs/2112.10762v2
FID
4.43
Image Generation
CelebA-HQ 1024x1024
StyleGAN
http://arxiv.org/abs/1812.04948v3
FID
5.06
Image Generation
CelebA-HQ 1024x1024
PG-SWGAN
http://arxiv.org/abs/1904.05408v2
FID
5.5
Image Generation
CelebA-HQ 1024x1024
WaveDiff
https://arxiv.org/abs/2211.16152v2
FID
5.98
Image Generation
CelebA-HQ 1024x1024
WaveDiff
https://arxiv.org/abs/2211.16152v2
NFE
2
Image Generation
CelebA-HQ 1024x1024
MSG-StyleGAN
https://arxiv.org/abs/1903.06048v4
FID
6.37
Image Generation
CelebA-HQ 1024x1024
Polarity-ProGAN
https://arxiv.org/abs/2203.01993v2
FID
7.28
Image Generation
CelebA-HQ 1024x1024
PGGAN
http://arxiv.org/abs/1710.10196v3
FID
7.3
Image Generation
CelebA-HQ 1024x1024
HiT-B
https://arxiv.org/abs/2106.07631v3
FID
8.83
Image Generation
CelebA-HQ 1024x1024
COCO-GAN
https://arxiv.org/abs/1904.00284v4
FID
9.49
Image Generation
CelebA-HQ 1024x1024
Efficient-VDVAE
https://arxiv.org/abs/2203.13751v2
bits/dimension
1.01
Image Generation
CelebA 256x256
Efficient-VDVAE
https://arxiv.org/abs/2203.13751v2
bpd
0.51
Image Generation
CelebA 256x256
Efficient-VDVAE
https://arxiv.org/abs/2203.13751v2
bpd (8-bits)
1.35
Image Generation
CelebA 256x256
SPN Menick and Kalchbrenner (2019)
http://arxiv.org/abs/1812.01608v1
bpd
0.61
Image Generation
CelebA 256x256
MaCow (Var)
https://arxiv.org/abs/1902.04208v5
bpd
0.67
Image Generation
CelebA 256x256
LSGM
https://arxiv.org/abs/2106.05931v3
bpd
0.70
Image Generation
CelebA 256x256
LSGM
https://arxiv.org/abs/2106.05931v3
FID
7.22
Image Generation
CelebA 256x256
NVAE w/ flow
https://arxiv.org/abs/2007.03898v3
bpd
0.70
Image Generation
CelebA 256x256
ANF Huang et al. (2020)
https://arxiv.org/abs/2002.07101v1
bpd
0.72
Image Generation
CelebA 256x256
Locally Masked PixelCNN
https://arxiv.org/abs/2006.12486v3
bpd
0.74
Image Generation
CelebA 256x256
MaCow (Unf)
https://arxiv.org/abs/1902.04208v5
bpd
0.95
Image Generation
CelebA 256x256
Residual Flow
https://arxiv.org/abs/1906.02735v6
bpd
0.992
Image Generation
CelebA 256x256
Glow (Kingma and Dhariwal, 2018)
http://arxiv.org/abs/1807.03039v2
bpd
1.03
Image Generation
CelebA 256x256
StyleSwin
https://arxiv.org/abs/2112.10762v2
FID
3.25
Image Generation
CelebA 256x256
HiT-B
https://arxiv.org/abs/2106.07631v3
FID
3.39
Image Generation
CelebA 256x256
VQGAN
https://arxiv.org/abs/2012.09841v3
FID
10.2
Image Generation
CelebA 256x256
StyleALAE
https://arxiv.org/abs/2004.04467v1
FID
19.21
Image Generation
CelebA 256x256
NCP-VAE
https://arxiv.org/abs/2010.02917v3
FID
24.79
Image Generation
CelebA 256x256
MSP
https://arxiv.org/abs/1907.12385v3
FID
35.0
Image Generation
CelebA 256x256
GLF+perceptual loss (ours)
https://arxiv.org/abs/1905.10485v2
FID
41.8
Image Generation
Cityscapes-25K 256x512
SB-GAN
https://arxiv.org/abs/1911.11357v1
FID
62.97
Image Generation
TiO_2 nanoparticle
F-ANcGAN
https://arxiv.org/abs/2505.18106v1
FID
17.65
Image Generation
TiO_2 nanoparticle
Cycle GAN
https://arxiv.org/abs/2505.18106v1
FID
52.01
Image Generation
TiO_2 nanoparticle
Generative Adversarial Network (GAN)
https://arxiv.org/abs/2505.18106v1
FID
69.9
Image Generation
FFHQ 64x64 - 4x upscaling
PFGM++
https://arxiv.org/abs/2302.04265v2
FID
2.43
Image Generation
MetFaces
t-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE Signature
30894
Image Generation
MetFaces
t-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE log-signature
21560
Image Generation
MetFaces
t-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE Signature
19872
Image Generation
MetFaces
t-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE log-signature
13761
Image Generation
MetFaces
r-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE Signature
34977
Image Generation
MetFaces
r-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE log-signature
24707
Image Generation
MetFaces
r-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE Signature
22799
Image Generation
MetFaces
r-Stylegan3-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE log-signature
16539
Image Generation
MetFaces
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE Signature
33247
Image Generation
MetFaces
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
RMSE log-signature
25685
Image Generation
MetFaces
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE Signature
23428
Image Generation
MetFaces
Stylegan2-ada (NVIDIA pre-trained)
https://arxiv.org/abs/2203.03226v3
MAE log-signature
18071
Image Generation
LSUN Bedroom 256 x 256
Diffusion ProjectedGAN
https://arxiv.org/abs/2206.02262v4
FID
1.43
Image Generation
LSUN Bedroom 256 x 256
Projected GAN
https://arxiv.org/abs/2111.01007v1
FID
1.52
Image Generation
LSUN Bedroom 256 x 256
Projected GAN
https://arxiv.org/abs/2111.01007v1
FID-10k-training-steps
1.52
Image Generation
LSUN Bedroom 256 x 256
TDPM+ (TTrunc=99)
https://arxiv.org/abs/2202.09671v4
FID
1.88
Image Generation
LSUN Bedroom 256 x 256
TDPM+ (TTrunc=99)
https://arxiv.org/abs/2202.09671v4
NFE
100
Image Generation
LSUN Bedroom 256 x 256
ADM (dropout)
https://arxiv.org/abs/2105.05233v4
FID
1.90
Image Generation
LSUN Bedroom 256 x 256
StyleGAN
null
FID
2.56
Image Generation
LSUN Bedroom 256 x 256
Patch Diffusion
null
FID
2.75
Image Generation
LSUN Bedroom 256 x 256
Unleashing Transformers
https://arxiv.org/abs/2111.12701v1
FID
3.64
Image Generation
LSUN Bedroom 256 x 256
Diffusion StyleGAN2
https://arxiv.org/abs/2206.02262v4
FID
3.65
Image Generation
LSUN Bedroom 256 x 256
iDDPM
null
FID
4.54
Image Generation
LSUN Bedroom 256 x 256
UDM (RVE) + ST
https://arxiv.org/abs/2106.05527v5
FID
4.57
Image Generation
LSUN Bedroom 256 x 256
Denoising Diffusion Probabilistic Model (large)
https://arxiv.org/abs/2006.11239v2
FID
4.9
Image Generation
LSUN Bedroom 256 x 256
LFM
https://arxiv.org/abs/2307.08698v1
FID
4.92
Image Generation
LSUN Bedroom 256 x 256
PNDM
https://arxiv.org/abs/2202.09778v2
FID
5.68
Image Generation
LSUN Bedroom 256 x 256
Denoising Diffusion Probabilistic Model
https://arxiv.org/abs/2006.11239v2
FID
6.36
Image Generation
LSUN Bedroom 256 x 256
PG-SWGAN
http://arxiv.org/abs/1904.05408v2
FID
8.0