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 ⌀ |
|---|---|---|---|---|---|
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | Total Score | 0.4793 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | Venue | Open-Source |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | Aesthetics | 0.4502 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | Motion | 0.2181 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | FaceSim | 0.3083 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | GmeScore | 0.7047 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | NexusScore | 0.4304 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | MAGREF-480P | https://arxiv.org/abs/2505.23742v1 | NaturalScore | 0.6949 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | Total Score | 0.4759 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | Venue | Close-Source |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | Aesthetics | 0.4147 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | Motion | 0.1352 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | FaceSim | 0.3511 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | GmeScore | 0.6757 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | NexusScore | 0.4355 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Vidu 2.0 | https://arxiv.org/abs/2411.17440v3 | NaturalScore | 0.7144 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | Total Score | 0.4553 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | Venue | Open-Source |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | Aesthetics | 0.4824 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | Motion | 0.1883 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | FaceSim | 0.2058 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | GmeScore | 0.7126 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | NexusScore | 0.3795 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B | https://arxiv.org/abs/2503.07598v1 | NaturalScore | 0.7178 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | Total Score | 0.4395 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | Venue | Open-Source |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | Aesthetics | 0.4727 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | Motion | 0.1203 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | FaceSim | 0.1658 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | GmeScore | 0.7138 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | NexusScore | 0.4004 |
Video > Video Generation > Image to Video Generation > Open-Domain Subject-to-Video | OpenS2V-Eval | Wan2.1-VACE-1.3B-Preview | https://arxiv.org/abs/2503.07598v1 | NaturalScore | 0.7056 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | StyleGAN-V | https://arxiv.org/abs/2207.12393v1 | FVD | 69.17 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | StyleGAN-V | https://arxiv.org/abs/2207.12393v1 | FID | 17.95 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | DIGAN | https://arxiv.org/abs/2207.12393v1 | FVD | 72.98 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | DIGAN | https://arxiv.org/abs/2207.12393v1 | FID | 19.39 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | VideoGPT | https://arxiv.org/abs/2207.12393v1 | FVD | 177.89 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | VideoGPT | https://arxiv.org/abs/2207.12393v1 | FID | 52.95 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | MoCoGAN-HD | https://arxiv.org/abs/2207.12393v1 | FVD | 212.41 |
Video > Video Generation > Unconditional Video Generation | CelebV-HQ | MoCoGAN-HD | https://arxiv.org/abs/2207.12393v1 | FID | 21.55 |
Video > Video Generation > Unconditional Video Generation | ^(#$!@#$)(()))****** | 左右 | https://arxiv.org/abs/2402.04499v2 | 0..5sec | 1111 |
Video > Video Understanding > Video Quality Assessment | LIVE-YT-HFR | ST-GREED | https://arxiv.org/abs/2010.13715v2 | SRCC | 0.8822 |
Video > Video Understanding > Video Quality Assessment | LIVE-YT-HFR | GREED-VMAF | https://arxiv.org/abs/2109.12785v1 | SRCC | 0.8658 |
Video > Video Understanding > Video Quality Assessment | LIVE-YT-HFR | GSTI | https://arxiv.org/abs/2006.11424v2 | SRCC | 0.8064 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MDTVSFA | https://arxiv.org/abs/2011.04263v2 | SRCC | 0.9289 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MDTVSFA | https://arxiv.org/abs/2011.04263v2 | PLCC | 0.9431 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MDTVSFA | https://arxiv.org/abs/2011.04263v2 | KLCC | 0.7883 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MDTVSFA | https://arxiv.org/abs/2011.04263v2 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DBCNN | https://arxiv.org/abs/1907.02665v1 | SRCC | 0.9220 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DBCNN | https://arxiv.org/abs/1907.02665v1 | PLCC | 0.9222 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DBCNN | https://arxiv.org/abs/1907.02665v1 | KLCC | 0.7750 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DBCNN | https://arxiv.org/abs/1907.02665v1 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | SRCC | 0.9148 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | PLCC | 0.9238 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | KLCC | 0.7648 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LI | https://arxiv.org/abs/2108.08505v2 | SRCC | 0.9131 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LI | https://arxiv.org/abs/2108.08505v2 | PLCC | 0.9270 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LI | https://arxiv.org/abs/2108.08505v2 | KLCC | 0.7640 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LI | https://arxiv.org/abs/2108.08505v2 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | SRCC | 0.9104 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | PLCC | 0.9106 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | KLCC | 0.7589 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | VSFA | https://arxiv.org/abs/1908.00375v3 | SRCC | 0.9049 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | VSFA | https://arxiv.org/abs/1908.00375v3 | PLCC | 0.9180 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | VSFA | https://arxiv.org/abs/1908.00375v3 | KLCC | 0.7483 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | VSFA | https://arxiv.org/abs/1908.00375v3 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | SRCC | 0.9004 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | PLCC | 0.9068 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | KLCC | 0.7433 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DOVER | https://arxiv.org/abs/2211.04894v3 | SRCC | 0.8871 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DOVER | https://arxiv.org/abs/2211.04894v3 | PLCC | 0.9099 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DOVER | https://arxiv.org/abs/2211.04894v3 | KLCC | 0.7216 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | DOVER | https://arxiv.org/abs/2211.04894v3 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8822 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8814 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7186 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8799 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8855 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7106 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8794 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8824 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7148 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (single_scale) | https://arxiv.org/abs/2106.01111v1 | SRCC | 0.8742 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (single_scale) | https://arxiv.org/abs/2106.01111v1 | PLCC | 0.8933 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (single_scale) | https://arxiv.org/abs/2106.01111v1 | KLCC | 0.7037 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (single_scale) | https://arxiv.org/abs/2106.01111v1 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | SRCC | 0.8705 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | PLCC | 0.8549 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | KLCC | 0.7079 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | Type | NR |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (multi_scale) | https://arxiv.org/abs/2106.01111v1 | SRCC | 0.8673 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (multi_scale) | https://arxiv.org/abs/2106.01111v1 | PLCC | 0.8851 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (multi_scale) | https://arxiv.org/abs/2106.01111v1 | KLCC | 0.6942 |
Video > Video Understanding > Video Quality Assessment | MSU NR VQA Database | GVSP-UGCVQA-NR (multi_scale) | https://arxiv.org/abs/2106.01111v1 | Type | NR |
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