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ReGenVC is an end-to-end generative video codec that compresses talking-head videos to about 26 kB for 77 frames and decodes them in real time using a diffusion transformer. It encodes a neurally compressed first frame, pose keypoints, and metadata into a compact bitstream.
ReGenVC is an end-to-end generative video codec that compresses talking-head videos to about 26 kB for 77 frames and decodes them in real time using a diffusion transformer. It encodes a neurally compressed first frame, pose keypoints, and metadata into a compact bitstream.
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We present ReGenVC, an end-to-end generative video codec that compresses talking-head video to an ultra-low bitrate and decodes it in real time. The encoder reduces a source clip to a compact bitstream -- a neurally compressed first frame, per-frame pose keypoints, and metadata -- totaling about 26 kB for a...
This approach drastically reduces video data size while enabling real-time decoding, which could improve streaming efficiency and bandwidth usage for video communication. It demonstrates the potential of neural compression combined with generative models for video coding.
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