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 > Conditional Image Generation | ArtBench-10 (32x32) | StyleGAN2 + ADA | https://arxiv.org/abs/2006.06676v2 | FID | 2.625 |
Image Generation > Conditional Image Generation | ArtBench-10 (32x32) | ReACGAN + DiffAug | https://arxiv.org/abs/2111.01118v1 | FID | 3.175 |
Image Generation > Conditional Image Generation | ArtBench-10 (32x32) | BigGAN + DiffAug | http://arxiv.org/abs/1809.11096v2 | FID | 4.055 |
Image Generation > Conditional Image Generation | ArtBench-10 (32x32) | StyleGAN2 | https://arxiv.org/abs/1912.04958v2 | FID | 4.491 |
Image Generation > Conditional Image Generation | ArtBench-10 (32x32) | BigGAN + CR | https://arxiv.org/abs/1910.12027v2 | FID | 4.647 |
Image Generation > Conditional Image Generation | ArtBench-10 (32x32) | Projected GAN | https://arxiv.org/abs/2111.01007v1 | FID | 11.837 |
Image Generation > Conditional Image Generation | CelebAMask-HQ | SCDM | https://arxiv.org/abs/2402.16506v3 | FID | 17.4 |
Image Generation > Conditional Image Generation | CelebAMask-HQ | SCDM | https://arxiv.org/abs/2402.16506v3 | mIoU | 77.2 |
Image Generation > Conditional Image Generation | CelebAMask-HQ | SCDM | https://arxiv.org/abs/2402.16506v3 | LPIPS | 0.418 |
Image Generation > Conditional Image Generation | CIFAR-100 | DLSM | https://arxiv.org/abs/2203.14206v1 | Inception Score | 11.62 |
Image Generation > Conditional Image Generation | CIFAR-100 | DLSM | https://arxiv.org/abs/2203.14206v1 | FID | 3.86 |
Image Generation > Conditional Image Generation | CIFAR-100 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | Inception Score | 9.74 |
Image Generation > Conditional Image Generation | CIFAR-100 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | FID | 7.15 |
Image Generation > Conditional Image Generation | CIFAR-100 | TAC-GAN | https://arxiv.org/abs/1907.02690v4 | Inception Score | 9.34 |
Image Generation > Conditional Image Generation | CIFAR-100 | TAC-GAN | https://arxiv.org/abs/1907.02690v4 | FID | 7.22 |
Image Generation > Conditional Image Generation | CIFAR-100 | ADC-GAN | https://arxiv.org/abs/2107.10060v5 | FID | 8.12 |
Image Generation > Conditional Image Generation | CIFAR-100 | ADC-GAN | https://arxiv.org/abs/2107.10060v5 | Intra-FID | 49.24 |
Image Generation > Conditional Image Generation | CIFAR-100 | aw-BigGAN | https://arxiv.org/abs/2012.03149v2 | Inception Score | 11.22 |
Image Generation > Conditional Image Generation | CIFAR-100 | aw-BigGAN | https://arxiv.org/abs/2012.03149v2 | FID | 10.23 |
Image Generation > Conditional Image Generation | CIFAR-100 | aw-SN-GAN | https://arxiv.org/abs/2012.03149v2 | Inception Score | 9.48 |
Image Generation > Conditional Image Generation | CIFAR-100 | aw-SN-GAN | https://arxiv.org/abs/2012.03149v2 | FID | 14 |
Image Generation > Conditional Image Generation | CIFAR-100 | MHingeGAN | https://arxiv.org/abs/1912.04216v2 | Inception Score | 14.36 |
Image Generation > Conditional Image Generation | CIFAR-100 | MHingeGAN | https://arxiv.org/abs/1912.04216v2 | FID | 17.3 |
Image Generation > Conditional Image Generation | CIFAR-10 LT | BigGAN + gSR | https://arxiv.org/abs/2208.09932v1 | FID | 12.03 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | IC-GAN + DA | https://arxiv.org/abs/2109.05070v2 | FID | 6.7 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | IC-GAN + DA | https://arxiv.org/abs/2109.05070v2 | Inception score | 45.9±0.3 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | SAGAN + instance selection | https://arxiv.org/abs/2007.15255v2 | FID | 9.07 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | SAGAN + instance selection | https://arxiv.org/abs/2007.15255v2 | Inception score | 37.1 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | FID | 9.67 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | Inception score | 25.96 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | BigGAN* [Brock et al.] +DA | https://arxiv.org/abs/2109.05070v2 | FID | 10.2±0.1 |
Image Generation > Conditional Image Generation | ImageNet 64x64 | BigGAN* [Brock et al.] +DA | https://arxiv.org/abs/2109.05070v2 | Inception score | 30.1±0.1 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | EluCD_DDPM | https://arxiv.org/abs/2310.11311v1 | FID | 2.19 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADM-G + EDS (ED-DPM, classifier_scale=0.4) | https://arxiv.org/abs/2206.11474v5 | FID | 2.63 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADM-G + EDS (ED-DPM, classifier_scale=0.4) | https://arxiv.org/abs/2206.11474v5 | Inception score | 159.72 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADM-G + EDS + ECT (ED-DPM, classifier_scale=0.6) | https://arxiv.org/abs/2206.11474v5 | FID | 2.68 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADM-G + EDS + ECT (ED-DPM, classifier_scale=0.6) | https://arxiv.org/abs/2206.11474v5 | Inception score | 169.24 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | simple diffusion (U-Net) | https://arxiv.org/abs/2301.11093v2 | FID | 2.88 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | simple diffusion (U-Net) | https://arxiv.org/abs/2301.11093v2 | Inception score | 137.3 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADM-G (classifier_scale=0.5) | https://arxiv.org/abs/2105.05233v4 | FID | 2.97 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | simple diffusion (U-ViT, L) | https://arxiv.org/abs/2301.11093v2 | FID | 3.23 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | simple diffusion (U-ViT, L) | https://arxiv.org/abs/2301.11093v2 | Inception score | 171.9 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN-deep | http://arxiv.org/abs/1809.11096v2 | FID | 5.7 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN-deep | http://arxiv.org/abs/1809.11096v2 | Inception score | 124.5 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Omni-INR-GAN | https://arxiv.org/abs/2011.13074v3 | FID | 6.53 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Omni-INR-GAN | https://arxiv.org/abs/2011.13074v3 | Inception score | 262.85 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | CR-BigGAN | https://arxiv.org/abs/1910.12027v2 | FID | 6.66 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | S3 GAN | https://arxiv.org/abs/1903.02271v2 | FID | 7.7 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | S3 GAN | https://arxiv.org/abs/1903.02271v2 | Inception score | 83.1 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADC-GAN | https://arxiv.org/abs/2107.10060v5 | FID | 8.02 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ADC-GAN | https://arxiv.org/abs/2107.10060v5 | Inception score | 108.10 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ReACGAN | https://arxiv.org/abs/2111.01118v1 | FID | 8.206 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | ReACGAN | https://arxiv.org/abs/2111.01118v1 | Inception score | 96.299 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Omni-GAN | https://arxiv.org/abs/2011.13074v3 | FID | 8.30 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Omni-GAN | https://arxiv.org/abs/2011.13074v3 | Inception score | 190.94 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN | http://arxiv.org/abs/1809.11096v2 | FID | 8.7 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN | http://arxiv.org/abs/1809.11096v2 | Inception score | 98.8 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | IC-GAN + DA | https://arxiv.org/abs/2109.05070v2 | FID | 9.5 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | IC-GAN + DA | https://arxiv.org/abs/2109.05070v2 | Inception score | 108.6 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN + instance selection | https://arxiv.org/abs/2007.15255v2 | FID | 9.61 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | BigGAN + instance selection | https://arxiv.org/abs/2007.15255v2 | Inception score | 114.32 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | FID | 13.77 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | FQ-GAN | https://arxiv.org/abs/2004.02088v2 | Inception score | 54.36 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | HamGAN | https://arxiv.org/abs/2109.04553v2 | FID | 14.80 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | HamGAN | https://arxiv.org/abs/2109.04553v2 | Inception score | 58.75 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Your Local GAN | https://arxiv.org/abs/1911.12287v2 | FID | 15.94 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Your Local GAN | https://arxiv.org/abs/1911.12287v2 | Inception score | 57.22 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | SAGAN | https://arxiv.org/abs/1805.08318v2 | FID | 18.65 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | SAGAN | https://arxiv.org/abs/1805.08318v2 | Inception score | 52.52 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Projection Discriminator | http://arxiv.org/abs/1802.05637v2 | FID | 27.62 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | Projection Discriminator | http://arxiv.org/abs/1802.05637v2 | Inception score | 36.8 |
Image Generation > Conditional Image Generation | ImageNet 128x128 | AC-GAN | http://arxiv.org/abs/1610.09585v4 | Inception score | 28.5 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-Edge | SCDM | https://arxiv.org/abs/2402.16506v3 | FID | 31.2 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-Edge | SCDM | https://arxiv.org/abs/2402.16506v3 | mIoU | 40.1 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-DS | SCDM | https://arxiv.org/abs/2402.16506v3 | FID | 32.4 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-DS | SCDM | https://arxiv.org/abs/2402.16506v3 | mIoU | 44.7 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-Random | SCDM | https://arxiv.org/abs/2402.16506v3 | FID | 28.1 |
Image Generation > Conditional Image Generation > Noisy Semantic Image Synthesis | noisy-ADE20K-Random | SCDM | https://arxiv.org/abs/2402.16506v3 | mIoU | 45.1 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 8-shot learning | CainGAN | https://arxiv.org/abs/2004.09169v1 | FID | 24.9 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 8-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 42.2 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Fast Bi-layer Avatars (medium size) | https://arxiv.org/abs/2008.10174v1 | LPIPS | 0.358 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Fast Bi-layer Avatars (medium size) | https://arxiv.org/abs/2008.10174v1 | SSIM | 0.508 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Fast Bi-layer Avatars (medium size) | https://arxiv.org/abs/2008.10174v1 | CSIM | 0.653 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Fast Bi-layer Avatars (medium size) | https://arxiv.org/abs/2008.10174v1 | Normalized Pose Error | 43.3 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Fast Bi-layer Avatars (medium size) | https://arxiv.org/abs/2008.10174v1 | inference time (ms) | 4 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | First Order Motion Model (medium size) | https://arxiv.org/abs/2008.10174v1 | LPIPS | 0.311 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | First Order Motion Model (medium size) | https://arxiv.org/abs/2008.10174v1 | SSIM | 0.553 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | First Order Motion Model (medium size) | https://arxiv.org/abs/2008.10174v1 | CSIM | 0.638 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | First Order Motion Model (medium size) | https://arxiv.org/abs/2008.10174v1 | Normalized Pose Error | 47.8 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | First Order Motion Model (medium size) | https://arxiv.org/abs/2008.10174v1 | inference time (ms) | 13 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | LPIPS | 0.368 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | SSIM | 0.419 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | CSIM | 0.604 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | Normalized Pose Error | 46.1 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | inference time (ms) | 22 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | CainGAN | https://arxiv.org/abs/2004.09169v1 | FID | 35.0 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 48.5 |
Image Generation > Face Generation > Talking Head Generation | 100 sleep nights of 8 caregivers | Ashok | https://arxiv.org/abs/1912.06078v1 | 10% | 12 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb1 - 8-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 38.0 |
Image Generation > Face Generation > Talking Head Generation | VoxCeleb1 - 8-shot learning | X2Face | http://openaccess.thecvf.com/content_ECCV_2018/html/Olivia_Wiles_X2Face_A_network_ECCV_2018_paper.html | FID | 51.5 |
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