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

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion arXiv:2605.02849v2 Announce Type: replace Abstract: Diffusion models provide a powerful generative prior for perceptual reconstruction at ultra-low bitrates, but effective video compression requires controlling the generative process using highly compact conditioning signals. In this work, we present ActDiff-VC, a diffusion-based video compression framework for the ultra-low-bitrate regime. Our method