Face Consistency Benchmark for GenAI Video
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909613088047104 |
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| author | Podstawski, Michal Kudelska, Malgorzata Wang, Haohong |
| author_facet | Podstawski, Michal Kudelska, Malgorzata Wang, Haohong |
| contents | Video generation driven by artificial intelligence has advanced significantly, enabling the creation of dynamic and realistic content. However, maintaining character consistency across video sequences remains a major challenge, with current models struggling to ensure coherence in appearance and attributes. This paper introduces the Face Consistency Benchmark (FCB), a framework for evaluating and comparing the consistency of characters in AI-generated videos. By providing standardized metrics, the benchmark highlights gaps in existing solutions and promotes the development of more reliable approaches. This work represents a crucial step toward improving character consistency in AI video generation technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11425 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Face Consistency Benchmark for GenAI Video Podstawski, Michal Kudelska, Malgorzata Wang, Haohong Computer Vision and Pattern Recognition Multimedia Video generation driven by artificial intelligence has advanced significantly, enabling the creation of dynamic and realistic content. However, maintaining character consistency across video sequences remains a major challenge, with current models struggling to ensure coherence in appearance and attributes. This paper introduces the Face Consistency Benchmark (FCB), a framework for evaluating and comparing the consistency of characters in AI-generated videos. By providing standardized metrics, the benchmark highlights gaps in existing solutions and promotes the development of more reliable approaches. This work represents a crucial step toward improving character consistency in AI video generation technologies. |
| title | Face Consistency Benchmark for GenAI Video |
| topic | Computer Vision and Pattern Recognition Multimedia |
| url | https://arxiv.org/abs/2505.11425 |