{"ID":3053366,"CreatedAt":"2026-06-04T04:41:36.695875263Z","UpdatedAt":"2026-06-06T03:31:06.711308811Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.04410","arxiv_id":"2606.04410","title":"Ultra-Fast Neural Video Compression","abstract":"While neural video codecs (NVCs) have demonstrated superior compression ratio, their prohibitive computational complexity remains a critical barrier to real-world deployment. This paper introduces a chunk-based coding framework designed to significantly improve the rate-distortion-complexity trade-off. Instead of processing frames sequentially, our approach encodes a chunk of multiple frames into a single compact latent representation and decodes them simultaneously. This is enabled by cross-frame interaction modules for joint spatial-temporal modeling and frame-specific decoders for parallel reconstruction. This paradigm not only dramatically enhances coding throughput but also facilitates more effective modeling of long-term temporal correlations. To further boost speed, we propose a streamlined entropy coding mechanism that consolidates bit-stream interactions into a single step, substantially reducing decoding overhead. Building on these innovations, we present DCVC-UF (Ultra-Fast), a new NVC that sets a new SOTA in performance. Our experiments show that DCVC-UF can achieve ultra-fast encoding and decoding speeds, significantly outperforming previous leading codecs. DCVC-UF serves as a notable landmark in the journey of NVC evolution. The code is at https://github.com/microsoft/DCVC.","short_abstract":"While neural video codecs (NVCs) have demonstrated superior compression ratio, their prohibitive computational complexity remains a critical barrier to real-world deployment. This paper introduces a chunk-based coding framework designed to significantly improve the rate-distortion-complexity trade-off. Instead of proce...","url_abs":"https://arxiv.org/abs/2606.04410","url_pdf":"https://arxiv.org/pdf/2606.04410v1","authors":"[\"Jiahao Li\",\"Wenxuan Xie\",\"Zhaoyang Jia\",\"Bin Li\",\"Zongyu Guo\",\"Xiaoyi Zhang\",\"Yan Lu\"]","published":"2026-06-03T03:38:05Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":612814,"CreatedAt":"2026-06-04T04:41:36.695875263Z","UpdatedAt":"2026-06-04T04:41:36.695875263Z","DeletedAt":null,"paper_id":3053366,"paper_url":"https://arxiv.org/abs/2606.04410","paper_title":"Ultra-Fast Neural Video Compression","repo_url":"https://github.com/microsoft/DCVC","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}