English(EN) When to Start Denoising? Adaptive Denoising Entry for Generative Video Compression

新的自适应方法增强了生成式视频压缩的真实感

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了一种新颖的生成式视频压缩自适应扩散入口方法，称为 ADE-GVC。该框架通过智能选择去噪起始时间步长，解决了基于扩散的视频压缩中重建保真度与感知真实感之间的关键权衡问题。ADE-GVC 利用一个轻量级预测器从压缩的潜在表示中估计一个最佳起点，并结合一个时间适配器来增强预训练的视频扩散模型，从而在保真度和真实感方面都取得了显著的改进。实验表明，ADE-GVC 取得了最先进的性能，与 GLC-Video 等现有方法相比，在比特率节省方面有显著优势。 AI

影响这项研究可能带来更高效、更具感知吸引力的视频压缩技术，从而影响流媒体服务和内容交付。

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arXiv cs.CV TIER_1 English(EN) · Zifu Zhang, Yuqiao Li, Ding Ding, Shengxi Li, Mai Xu, Daowen Li, Kai Li, Ying Chen · 2026-11-11 05:00

何时开始去噪？生成式视频压缩的自适应去噪入口

arXiv:2611.13620v1 Announce Type: new Abstract: Generative video compression offers a promising solution for compressing and reconstructing videos under extremely low bitrate constraints, among which the diffusion-based solutions still achieve the best performance by providing th…

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何时开始去噪？生成式视频压缩的自适应去噪入口

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