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 ⌀ |
|---|---|---|---|---|---|
10-shot image generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Vid-to-vid (medium size) | https://arxiv.org/abs/2008.10174v1 | CSIM | 0.604 |
10-shot image 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 |
10-shot image 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 |
10-shot image generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | CainGAN | https://arxiv.org/abs/2004.09169v1 | FID | 35.0 |
10-shot image generation > Talking Head Generation | VoxCeleb2 - 1-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 48.5 |
10-shot image generation > Talking Head Generation | 100 sleep nights of 8 caregivers | Ashok | https://arxiv.org/abs/1912.06078v1 | 10% | 12 |
10-shot image generation > Talking Head Generation | VoxCeleb1 - 8-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 38.0 |
10-shot image 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 |
10-shot image generation > Talking Head Generation | VoxCeleb1 - 32-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 29.5 |
10-shot image generation > Talking Head Generation | VoxCeleb1 - 32-shot learning | X2Face | http://openaccess.thecvf.com/content_ECCV_2018/html/Olivia_Wiles_X2Face_A_network_ECCV_2018_paper.html | FID | 56.5 |
10-shot image generation > Talking Head Generation | VoxCeleb1 - 1-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 43.0 |
10-shot image generation > Talking Head Generation | VoxCeleb1 - 1-shot learning | X2Face | http://openaccess.thecvf.com/content_ECCV_2018/html/Olivia_Wiles_X2Face_A_network_ECCV_2018_paper.html | FID | 45.8 |
10-shot image generation > Talking Head Generation | VoxCeleb2 - 32-shot learning | Few-shot Adversarial Model | https://arxiv.org/abs/1905.08233v2 | FID | 30.6 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip + ViT + MARLIN | https://arxiv.org/abs/2211.06627v3 | LSE-D | 7.127 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip + ViT + MARLIN | https://arxiv.org/abs/2211.06627v3 | LSE-C | 5.528 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip + ViT + MARLIN | https://arxiv.org/abs/2211.06627v3 | FID | 3.452 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.469 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | FID | 4.446 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.386 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-C | 7.781 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS2 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | FID | 4.887 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.986 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | LSE-C | 7.574 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | FID | 4.35 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.652 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-C | 7.887 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRS3 | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | FID | 4.844 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.774 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | LSE-C | 7.263 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip + GAN | https://arxiv.org/abs/2008.10010v1 | FID | 2.475 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-D | 6.512 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | LSE-C | 7.49 |
10-shot image generation > Talking Head Generation > Unconstrained Lip-synchronization | LRW | Wav2Lip | https://arxiv.org/abs/2008.10010v1 | FID | 3.189 |
10-shot image generation > Text to Video Retrieval | MSVD-Indonesian | X-CLIP (Cross-Lingual) | https://arxiv.org/abs/2306.11341v1 | R@1 | 32.3 |
10-shot image generation > Text to Video Retrieval | MSVD-Indonesian | X-CLIP (Cross-Lingual) | https://arxiv.org/abs/2306.11341v1 | R@5 | 63.3 |
10-shot image generation > Text to Video Retrieval | MSVD-Indonesian | X-CLIP (Cross-Lingual) | https://arxiv.org/abs/2306.11341v1 | R@10 | 74.9 |
10-shot image generation > Text to Video Retrieval | MSVD-Indonesian | X-CLIP (Cross-Lingual) | https://arxiv.org/abs/2306.11341v1 | Median Rank | 3.0 |
10-shot image generation > Text to Video Retrieval | MSVD-Indonesian | X-CLIP (Cross-Lingual) | https://arxiv.org/abs/2306.11341v1 | Mean Rank | 17.5 |
10-shot image generation > Text to Video Retrieval | MSR-VTT | CLIP4Clip | https://arxiv.org/abs/2104.08860v2 | text-to-video R@1 | 44.5 |
10-shot image generation > Text to Video Retrieval | Kinetics-GEB+ | FROZEN-revised | https://arxiv.org/abs/2204.00486v4 | mAP | 23.39 |
10-shot image generation > Text to Video Retrieval | Kinetics-GEB+ | FROZEN-revised (two-stream) | https://arxiv.org/abs/2204.00486v4 | text-to-video R@1 | 12.8 |
10-shot image generation > Text to Video Retrieval | Kinetics-GEB+ | FROZEN-revised (two-stream) | https://arxiv.org/abs/2204.00486v4 | text-to-video R@5 | 34.81 |
10-shot image generation > Text to Video Retrieval | Kinetics-GEB+ | FROZEN-revised (two-stream) | https://arxiv.org/abs/2204.00486v4 | text-to-video R@10 | 45.66 |
10-shot image generation > Text to Video Retrieval | Kinetics-GEB+ | FROZEN-revised (two-stream) | https://arxiv.org/abs/2204.00486v4 | text-to-video R@50 | 68.1 |
10-shot image generation > Text to Video Retrieval > Partially Relevant Video Retrieval | TVR | ms-sl | https://arxiv.org/abs/2208.12510v1 | Recall@Sum | 172.3 |
10-shot image generation > Text to Video Retrieval > Partially Relevant Video Retrieval | ActivityNet Captions | ms-sl | https://arxiv.org/abs/2208.12510v1 | Recall@Sum | 140.1 |
10-shot image generation > Text to Video Retrieval > Partially Relevant Video Retrieval | Charades-STA | ms-sl | https://arxiv.org/abs/2208.12510v1 | Recall@Sum | 68.4 |
10-shot image generation > Community Question Answering | Quora Question Pairs | MFAE | https://epubs.siam.org/doi/10.1137/1.9781611976236.26 | Accuracy | 90.54 |
10-shot image generation > Community Question Answering | CrowdSource QA | BERT | https://arxiv.org/abs/2002.10107v4 | MSE | 0.046 |
10-shot image generation > Talking Face Generation | CREMA-D | EmoGen | https://arxiv.org/abs/2303.11548v2 | EmoAcc | 83.2 |
10-shot image generation > Talking Face Generation | CREMA-D | EmoGen | https://arxiv.org/abs/2303.11548v2 | FID | 5.29 |
10-shot image generation > Talking Face Generation | CREMA-D | EmoGen | https://arxiv.org/abs/2303.11548v2 | LSE-C | 6.663 |
10-shot image generation > Talking Face Generation | LRW | LipGAN | https://arxiv.org/abs/2003.00418v1 | LMD | 0.60 |
10-shot image generation > Talking Face Generation | LRW | LipGAN | https://arxiv.org/abs/2003.00418v1 | SSIM | 0.96 |
10-shot image generation > Medical Image Generation | SLIVER07 | StyleGAN2 with DiffAugment | https://arxiv.org/abs/2311.13717v5 | FID | 4.62 |
10-shot image generation > Medical Image Generation | SLIVER07 | StyleGAN2-ADA | https://arxiv.org/abs/2210.03786v1 | FID | 10.78 |
10-shot image generation > Medical Image Generation | SLIVER07 | StyleGAN | https://arxiv.org/abs/2105.05318v2 | FID | 29.06 |
10-shot image generation > Medical Image Generation | ChestX-ray14 | StyleGAN2 with DiffAugment | https://arxiv.org/abs/2311.13717v5 | FID | 3.07 |
10-shot image generation > Medical Image Generation | ACDC | StyleGAN2-ADA | https://arxiv.org/abs/2210.03786v1 | FID | 21.17 |
10-shot image generation > Medical Image Generation | ACDC | StyleGAN2 with DiffAugment | https://arxiv.org/abs/2311.13717v5 | FID | 21.42 |
10-shot image generation > Medical Image Generation | ACDC | StyleGAN | https://arxiv.org/abs/2105.05318v2 | FID | 24.74 |
10-shot image generation > Medical Image Generation | ChestXray14 1024x1024 | StyleGAN2-ADA | https://arxiv.org/abs/2210.03786v1 | FID | 3.52 |
10-shot image generation > Medical Image Generation | ChestXray14 1024x1024 | Progressive Growing GAN | https://arxiv.org/abs/2010.03975v2 | FID | 8.02 |
10-shot image generation > Medical Image Generation | Chest X-Ray Images (Pneumonia) | DCGAN | https://arxiv.org/abs/2009.01181v1 | Frechet Inception Distance | 1.289 |
10-shot image generation > Audio Super-Resolution | Piano | U-Net + AFiLM | https://arxiv.org/abs/2108.11637v1 | Log-Spectral Distance | 1.5 |
10-shot image generation > Audio Super-Resolution | Piano | U-Net + TFiLM | https://arxiv.org/abs/1909.06628v3 | Log-Spectral Distance | 2 |
10-shot image generation > Audio Super-Resolution | Piano | U-Net | http://arxiv.org/abs/1708.00853v1 | Log-Spectral Distance | 3.4 |
10-shot image generation > Audio Super-Resolution | DSD100 | U-Net and ResNet | https://arxiv.org/abs/2011.07274v2 | SNR | 35.26 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | CMGAN | https://arxiv.org/abs/2209.11112v3 | Log-Spectral Distance | 0.76 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | NVSR | https://arxiv.org/abs/2203.14941v1 | Log-Spectral Distance | 0.78 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | TUNet + MSM pre-training | https://arxiv.org/abs/2110.13492v5 | Log-Spectral Distance | 1.28 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | TUNet | https://arxiv.org/abs/2110.13492v5 | Log-Spectral Distance | 1.36 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | U-Net + AFiLM | https://arxiv.org/abs/2108.11637v1 | Log-Spectral Distance | 1.7 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | U-Net + TFiLM | http://papers.nips.cc/paper/9217-temporal-film-capturing-long-range-sequence-dependencies-with-feature-wise-modulations | Log-Spectral Distance | 1.8 |
10-shot image generation > Audio Super-Resolution | VCTK Multi-Speaker | U-Net | http://arxiv.org/abs/1708.00853v1 | Log-Spectral Distance | 3.1 |
10-shot image generation > Audio Super-Resolution | Voice Bank corpus (VCTK) | U-Net + AFiLM | https://arxiv.org/abs/2108.11637v1 | Log-Spectral Distance | 2.3 |
10-shot image generation > Audio Super-Resolution | Voice Bank corpus (VCTK) | U-Net + TFiLM | https://arxiv.org/abs/1909.06628v3 | Log-Spectral Distance | 2.5 |
10-shot image generation > Audio Super-Resolution | Voice Bank corpus (VCTK) | U-Net | http://arxiv.org/abs/1708.00853v1 | Log-Spectral Distance | 3.2 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Any3DIS | https://arxiv.org/abs/2411.16183v1 | mAP | 25.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Any3DIS | https://arxiv.org/abs/2411.16183v1 | AP Head | 27.4 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Any3DIS | https://arxiv.org/abs/2411.16183v1 | AP Common | 23.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Any3DIS | https://arxiv.org/abs/2411.16183v1 | AP Tail | 26.4 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | mAP | 24.7 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | AP50 | 31.7 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | AP25 | 36.2 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | AP Head | 27.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | AP Common | 24.3 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open-YOLO 3D | https://arxiv.org/abs/2406.02548v2 | AP Tail | 21.6 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | mAP | 23.7 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | AP50 | 29.4 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | AP25 | 32.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | AP Head | 27.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | AP Common | 21.2 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | Open3DIS | https://arxiv.org/abs/2312.10671v3 | AP Tail | 21.8 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | mAP | 15.9 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | AP50 | 20.6 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | AP25 | 23.3 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | AP Head | 19.2 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | AP Common | 14.2 |
3D Open-Vocabulary Instance Segmentation | ScanNet200 | OpenIns3D | https://arxiv.org/abs/2309.00616v5 | AP Tail | 14.2 |
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