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arXiv Computer Vision By Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara Javidi

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

Read the original on arXiv Computer Vision →

ActDiff-VC is a diffusion-based video compression framework designed for ultra‑low‑bitrate scenarios. It partitions videos into variable‑length segments, transmits keyframes only when necessary, and encodes temporal dynamics with a compact set of tracked point trajectories. Conditioned on these sparse signals, a conditional diffusion decoder reconstructs the remaining frames, achieving significant bitrate reductions and perceptual quality gains compared to strong learned codecs.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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