task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Image Generation | FFHQ | StyleGAN2 | https://arxiv.org/abs/1912.04958v2 | Clean-FID (70k) | 2.98 |
Image Generation | FFHQ | StyleGAN (no instance norm) | https://arxiv.org/abs/1904.06991v3 | FID | 4.16 |
Image Generation | FFHQ | StyleGAN | http://arxiv.org/abs/1812.04948v3 | FID | 4.42 |
Image Generation | FFHQ | StyleGAN | http://arxiv.org/abs/1812.04948v3 | Clean-FID (70k) | 4.77 |
Image Generation | FFHQ | StyleSwin | https://arxiv.org/abs/2112.10762v2 | FID | 5.07 |
Image Generation | FFHQ | HiT-B | https://arxiv.org/abs/2106.07631v3 | FID | 6.37 |
Image Generation | FFHQ | StyleGAN2 | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 10.8309 |
Image Generation | FFHQ | StyleGAN2 | https://arxiv.org/abs/2103.01209v4 | Clean-FID (70k) | 2.98 |
Image Generation | FFHQ | MSG-StyleGAN | https://arxiv.org/abs/1903.06048v4 | Clean-FID (70k) | 6.51 |
Image Generation | FFHQ | GANsformer | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 12.8478 |
Image Generation | FFHQ | GAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 13.1844 |
Image Generation | FFHQ | SAGAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 16.2069 |
Image Generation | FFHQ | VQGAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 63.1165 |
Image Generation | AFHQ Wild | Vision-aided GAN | https://arxiv.org/abs/2112.09130v3 | clean-KID | 0.38 ± .02 |
Image Generation | AFHQ Wild | Vision-aided GAN | https://arxiv.org/abs/2112.09130v3 | clean-FID | 2.35 ± .02 |
Image Generation | AFHQ Wild | Vision-aided GAN | https://arxiv.org/abs/2112.09130v3 | FID | 2.25 |
Image Generation | AFHQ Wild | StyleGAN2-ADA | https://arxiv.org/abs/2006.06676v2 | clean-KID | 0.44 ± .01 |
Image Generation | AFHQ Wild | StyleGAN2-ADA | https://arxiv.org/abs/2006.06676v2 | clean-FID | 3.00 ± .01 |
Image Generation | AFHQ Wild | StyleGAN2-ADA | https://arxiv.org/abs/2006.06676v2 | FID | 3.05 |
Image Generation | AFHQ Wild | Diffusion InsGen | https://arxiv.org/abs/2206.02262v4 | FID | 1.51 |
Image Generation | AFHQ Wild | Projected GAN | https://arxiv.org/abs/2111.01007v1 | FID | 2.17 |
Image Generation | AFHQ Wild | Stylegan2-ada (NVIDIA pre-trained) | https://arxiv.org/abs/2203.03226v3 | RMSE Signature | 33306 |
Image Generation | AFHQ Wild | Stylegan2-ada (NVIDIA pre-trained) | https://arxiv.org/abs/2203.03226v3 | RMSE log-signature | 26622 |
Image Generation | AFHQ Wild | Stylegan2-ada (NVIDIA pre-trained) | https://arxiv.org/abs/2203.03226v3 | MAE Signature | 25578 |
Image Generation | AFHQ Wild | Stylegan2-ada (NVIDIA pre-trained) | https://arxiv.org/abs/2203.03226v3 | MAE log-signature | 20359 |
Image Generation | CIFAR-10 (10% data) | DiffAugment-StyleGAN2 | https://arxiv.org/abs/2006.10738v4 | FID | 14.5 |
Image Generation | CIFAR-10 (10% data) | DiffAugment-CR-BigGAN | https://arxiv.org/abs/2006.10738v4 | FID | 18.7 |
Image Generation | CIFAR-10 (10% data) | DiffAugment-BigGAN | https://arxiv.org/abs/2006.10738v4 | FID | 22.4 |
Image Generation | Binarized MNIST | CR-NVAE | https://arxiv.org/abs/2105.14859v2 | nats | 76.93 |
Image Generation | Binarized MNIST | Locally Masked PixelCNN (8 orders) | https://arxiv.org/abs/2006.12486v3 | bits/dimension | 0.143 |
Image Generation | Binarized MNIST | Locally Masked PixelCNN (8 orders) | https://arxiv.org/abs/2006.12486v3 | nats | 77.58 |
Image Generation | Binarized MNIST | BFN | https://arxiv.org/abs/2308.07037v5 | nats | 77.87 |
Image Generation | Binarized MNIST | Efficient-VDVAE | https://arxiv.org/abs/2203.13751v2 | nats | 79.09 |
Image Generation | Binarized MNIST | PixelRNN | http://arxiv.org/abs/1601.06759v3 | nats | 79.20 |
Image Generation | Binarized MNIST | PixelCNN | http://arxiv.org/abs/1601.06759v3 | nats | 81.30 |
Image Generation | Binarized MNIST | EoNADE-5 2hl (128 orders) | http://arxiv.org/abs/1406.1485v3 | nats | 84.68 |
Image Generation | Binarized MNIST | EoNADE 2hl (128 orders) | http://papers.nips.cc/paper/5277-iterative-neural-autoregressive-distribution-estimator-nade-k | nats | 85.10 |
Image Generation | Binarized MNIST | MADE 2hl (32 orders) | http://arxiv.org/abs/1502.03509v2 | nats | 86.64 |
Image Generation | Binarized MNIST | NADE | http://arxiv.org/abs/1310.1757v2 | nats | 88.33 |
Image Generation | iNaturalist 2019 | StyeGAN2 + NoisyTwins | https://arxiv.org/abs/2304.05866v1 | FID | 11.46 |
Image Generation | iNaturalist 2019 | BigGAN + gSR | https://arxiv.org/abs/2208.09932v1 | FID | 13.95 |
Image Generation | Pokemon 1024x1024 | StyleGAN-XL | https://arxiv.org/abs/2202.00273v2 | FID | 25.47 |
Image Generation | Pokemon 1024x1024 | Projected GAN | https://arxiv.org/abs/2111.01007v1 | FID | 33.96 |
Image Generation | Pokemon 1024x1024 | FastGAN | https://arxiv.org/abs/2101.04775v1 | FID | 56.46 |
Image Generation | CelebA-HQ 128x128 | U-Net GAN | https://arxiv.org/abs/2002.12655v2 | FID | 2.03 |
Image Generation | CelebA-HQ 128x128 | U-Net GAN | https://arxiv.org/abs/2002.12655v2 | Inception score | 3.33 |
Image Generation | CelebA-HQ 128x128 | COCO-GAN | https://arxiv.org/abs/1904.00284v4 | FID | 5.74 |
Image Generation | CelebA-HQ 128x128 | PA-GAN | https://arxiv.org/abs/1901.10422v3 | FID | 15.4 |
Image Generation | CelebA-HQ 128x128 | CR+LT-SNDCGAN | https://arxiv.org/abs/2010.09893v1 | FID | 16.84 |
Image Generation | CelebA-HQ 128x128 | CR-GAN | https://arxiv.org/abs/1910.12027v2 | FID | 16.97 |
Image Generation | CelebA-HQ 128x128 | SS-GAN (sBN) | http://arxiv.org/abs/1811.11212v2 | FID | 24.36 |
Image Generation | CelebA-HQ 128x128 | QSNGAN | https://arxiv.org/abs/2104.09630v2 | FID | 29.417 |
Image Generation | CelebA-HQ 128x128 | QSNGAN | https://arxiv.org/abs/2104.09630v2 | IS | 2.249 |
Image Generation | 1,078 People 3D Faces Collection Data | Sessiz çığlık | https://arxiv.org/abs/2202.00708v3 | 10% | 15 |
Image Generation | Cityscapes | Projected GAN | https://arxiv.org/abs/2111.01007v1 | FID-10k-training-steps | 3.41 |
Image Generation | Cityscapes | GANformer | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 5.7589 |
Image Generation | Cityscapes | StyleGAN2 | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 8.35 |
Image Generation | Cityscapes | GAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 11.5652 |
Image Generation | Cityscapes | SAGAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 12.8077 |
Image Generation | Cityscapes | VQGAN | https://arxiv.org/abs/2103.01209v4 | FID-10k-training-steps | 173.7971 |
Image Generation | FFHQ 128 x 128 | DDPM-IP | https://arxiv.org/abs/2301.11706v3 | FID | 2.98 |
Image Generation | FFHQ 128 x 128 | Anycost GAN | https://arxiv.org/abs/2103.03243v1 | FID | 3.98 |
Image Generation | FFHQ 128 x 128 | LadaGAN | https://arxiv.org/abs/2401.09596v4 | FID | 4.48 |
Image Generation | CelebA | FInCFlow | https://arxiv.org/abs/2301.09266v1 | bpd (8-bits) | null |
Image Generation | MNIST | Locally Masked PixelCNN (8 orders) | https://arxiv.org/abs/2006.12486v3 | bits/dimension | 0.65 |
Image Generation | MNIST | Residual Flow | https://arxiv.org/abs/1906.02735v6 | bits/dimension | 0.97 |
Image Generation | MNIST | RNODE | https://arxiv.org/abs/2002.02798v3 | bits/dimension | 0.97 |
Image Generation | MNIST | MintNet | https://arxiv.org/abs/1907.07945v2 | bits/dimension | 0.98 |
Image Generation | MNIST | i-ResNet | https://arxiv.org/abs/1811.00995v3 | bits/dimension | 1.06 |
Image Generation | MNIST | Sliced Iterative Generator | https://arxiv.org/abs/2007.00674v3 | bits/dimension | 1.34 |
Image Generation | MNIST | Sliced Iterative Generator | https://arxiv.org/abs/2007.00674v3 | FID | 4.5 |
Image Generation | MNIST | PR-GLOW- Recall | null | FID | 4.45 |
Image Generation | MNIST | PR-GLOW- Recall | null | Precision | 0.77 |
Image Generation | MNIST | PR-GLOW- Recall | null | Recall | 0.72 |
Image Generation | MNIST | GLF+perceptual loss (ours) | https://arxiv.org/abs/1905.10485v2 | FID | 5.8 |
Image Generation | MNIST | HypGAN | https://arxiv.org/abs/2102.05567v1 | FID | 7.87 |
Image Generation | MNIST | JKO-iFlow | null | FID | 7.95 |
Image Generation | MNIST | PR-GLOW- Precision | null | FID | 12.884 |
Image Generation | MNIST | PR-GLOW- Precision | null | Precision | 0.832 |
Image Generation | MNIST | PR-GLOW- Precision | null | Recall | 0.6509 |
Image Generation | MNIST | Spiking-Diffusion | https://arxiv.org/abs/2308.10187v4 | FID | 27.61 |
Image Generation | MNIST | Spiking-Diffusion | https://arxiv.org/abs/2308.10187v4 | Precision | 0.83 |
Image Generation | MNIST | Spiking-Diffusion | https://arxiv.org/abs/2308.10187v4 | Recall | 0.65 |
Image Generation | MNIST | Feature Alignment | https://arxiv.org/abs/2106.12562v2 | FID | 37.50 |
Image Generation | MNIST | PresGAN | https://arxiv.org/abs/1910.04302v1 | FID | 38.53 |
Image Generation | MNIST | Transition Matrix | https://www.mdpi.com/2227-7390/12/7/1024 | SSIM | 0.697 |
Image Generation | MNIST | Transition Matrix | https://www.mdpi.com/2227-7390/12/7/1024 | PSNR | 17.94 |
Image Generation | CelebA-HQ 64x64 | COCO-GAN | https://arxiv.org/abs/1904.00284v4 | FID | 4.0 |
Image Generation | CelebA-HQ 64x64 | VAEBM | https://arxiv.org/abs/2010.00654v3 | FID | 5.31 |
Image Generation | CelebA-HQ 64x64 | QA-GAN | https://arxiv.org/abs/1911.03149v1 | FID | 6.42 |
Image Generation | ImageNet 256x256 - 1 labeled data per class | DPT | null | FID-50k | 4.00 |
Image Generation | ImageNet 256x256 - 1 labeled data per class | DPT | null | sFID | 6.56 |
Image Generation | ImageNet 256x256 - 1 labeled data per class | DPT | null | IS | 178.05 |
Image Generation | ImageNet 256x256 - 1 labeled data per class | DPT | null | Precision | 0.81 |
Image Generation | ImageNet 256x256 - 1 labeled data per class | DPT | null | Recall | 0.53 |
Image Generation | KMNIST | Spiking-Diffusion | https://arxiv.org/abs/2308.10187v4 | FID | 59.23 |
Image Generation | CAT 256x256 | StyleGAN2 + DA + RLC (Ours) | https://arxiv.org/abs/2104.03310v1 | FID | 10.16 |
Image Generation | CAT 256x256 | RaSGAN | http://arxiv.org/abs/1807.00734v3 | FID | 32.11 |
Image Generation | CAT 256x256 | WGAN-GP | http://arxiv.org/abs/1704.00028v3 | FID | 155.46 |
Image Generation | ADE-Indoor | Projected GAN | https://arxiv.org/abs/2111.01007v1 | FID | 6.7 |
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