June 10, 2024, 4:48 a.m. | Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.04873v1 Announce Type: new
Abstract: Video-to-video synthesis models face significant challenges, such as ensuring consistent character generation across frames, maintaining smooth temporal transitions, and preserving quality during fast motion. The introduction of joint fully cross-frame self-attention mechanisms has improved character consistency, but this comes at the cost of increased computational complexity. This full cross-frame self-attention mechanism also incorporates redundant details and limits the number of frames that can be jointly edited due to its computational cost. Moreover, the lack of …

abstract ada arxiv attention attention mechanisms challenges character generation complexity computational consistent cost cs.ai cs.cv editing face free introduction prior quality self-attention synthesis temporal training transitions type video video-to-video

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