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Models/Vidu 2.0

Vidu 2.0

Reported on 28 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision14 results

VideoonOpenS2V-Eval
Aesthetics· 2024-11-26
0.4147
best: 0.4824 (Wan2.1-VACE-1.3B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
FaceSim· 2024-11-26
0.3511
best: 0.5509 (Wan2.1-VACE-14B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
GmeScore· 2024-11-26
0.6757
best: 0.7138 (Wan2.1-VACE-1.3B-Preview)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
Motion· 2024-11-26
0.1352
best: 0.416 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
NaturalScore· 2024-11-26
0.7144
best: 0.7906 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
NexusScore· 2024-11-26
0.4355
best: 0.4592 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
VideoonOpenS2V-Eval
Total Score· 2024-11-26
0.4759
best: 0.5446 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
Aesthetics· 2024-11-26
0.4147
best: 0.4824 (Wan2.1-VACE-1.3B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
FaceSim· 2024-11-26
0.3511
best: 0.5509 (Wan2.1-VACE-14B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
GmeScore· 2024-11-26
0.6757
best: 0.7138 (Wan2.1-VACE-1.3B-Preview)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
Motion· 2024-11-26
0.1352
best: 0.416 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
NaturalScore· 2024-11-26
0.7144
best: 0.7906 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
NexusScore· 2024-11-26
0.4355
best: 0.4592 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Image to Video GenerationonOpenS2V-Eval
Total Score· 2024-11-26
0.4759
best: 0.5446 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440

Natural Language Processing7 results

Video GenerationonOpenS2V-Eval
Aesthetics· 2024-11-26
0.4147
best: 0.4824 (Wan2.1-VACE-1.3B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
FaceSim· 2024-11-26
0.3511
best: 0.5509 (Wan2.1-VACE-14B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
GmeScore· 2024-11-26
0.6757
best: 0.7138 (Wan2.1-VACE-1.3B-Preview)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
Motion· 2024-11-26
0.1352
best: 0.416 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
NaturalScore· 2024-11-26
0.7144
best: 0.7906 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
NexusScore· 2024-11-26
0.4355
best: 0.4592 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
Video GenerationonOpenS2V-Eval
Total Score· 2024-11-26
0.4759
best: 0.5446 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440

Audio7 results

1 Image, 2*2 StitchionOpenS2V-Eval
Aesthetics· 2024-11-26
0.4147
best: 0.4824 (Wan2.1-VACE-1.3B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
FaceSim· 2024-11-26
0.3511
best: 0.5509 (Wan2.1-VACE-14B)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
GmeScore· 2024-11-26
0.6757
best: 0.7138 (Wan2.1-VACE-1.3B-Preview)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
Motion· 2024-11-26
0.1352
best: 0.416 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
NaturalScore· 2024-11-26
0.7144
best: 0.7906 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
NexusScore· 2024-11-26
0.4355
best: 0.4592 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440
1 Image, 2*2 StitchionOpenS2V-Eval
Total Score· 2024-11-26
0.4759
best: 0.5446 (Kling 1.6)
Identity-Preserving Text-to-Video Generation by Frequency Decomposition arXiv:2411.17440