研究人员开发了大型处理模型（LPM），这是一种新颖的、基于扩散的生成式视频修复框架，专为工业规模应用而设计。据报道，该模型是首个在此类规模上部署的模型，能够处理用户生成内容中复杂的、真实的降质问题。LPM 已集成到快手平台，处理了大部分观看时长，并提升了用户体验指标。此外，它还提供了显著的系统级优势，包括与现有编解码器相比降低 20% 的比特率，从而节省了大量带宽成本，并已集成到 Kling 等产品中。 AI
影响 这一发展展示了生成式AI在大型视频处理方面的实际可扩展性和成本效益，有望降低跨平台的带宽成本并改善用户体验。
排序理由 该集群描述了一篇详细介绍新型生成式视频修复模型及其工业规模部署的研究论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
We present the Large Processing Model (LPM), a diffusion-based generative framework for photorealistic video restoration under complex, in-the-wild degradations. To our knowledge, LPM is the first generative video restoration model deployed at industrial scale. LPM addresses the …
arXiv:2607.13460v1 Announce Type: new Abstract: We present the Large Processing Model (LPM), a diffusion-based generative framework for photorealistic video restoration under complex, in-the-wild degradations. To our knowledge, LPM is the first generative video restoration model …
We present the Large Processing Model (LPM), a diffusion-based generative framework for photorealistic video restoration under complex, in-the-wild degradations. To our knowledge, LPM is the first generative video restoration model deployed at industrial scale. LPM addresses the …