Generative Video Compression with Adaptive Score Distillation
Diffusion models provide strong generative capabilities for video compression at ultra-low bitrates. Existing diffusion-based video codecs adapt base models originally developed for text-conditioned generation, whereas diffusion models designed and trained specifically for compression remain unexplored. To fill this gap, we introduce our Generative Video Codec (GenVC), built on a video diffusion model trained from scratch for compression. To our knowledge, this is the first compression-oriented video diffusion model. We realize this model directly in pixel space with a global-to-local hierarchy that recovers fine spatio-temporal details, enabling high-quality generative reconstruction fro...
| Authors | Naifu Xue, Zhaoyang Jia, Haosen Li et al. |
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| Primary category | eess.IV |
| Published | 24 July 2026 |
| Last updated at source | 24 July 2026 |
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