物理模拟与扩散模型结合的视频去反射新框架
原标题：From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection
AI 摘要
Hugging Face 每日论文介绍了一项关于视频反射去除的研究。该研究提出了一个闭环框架，包含基于物理的反射视频合成（S2R-Synthesis）、基于扩散模型的视频去反射模型（S2R-Removal）以及新的基准（S2R-Bench）。实验表明，该方法在多个基准上达到了最先进性能，且推理速度更快。代码和预训练权重即将发布。
正文节选
From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video Dereflection Abstract A closed-loop framework combining physics-based video synthesis, diffusion-based video dereflection, and a new benchmark achieves state-of-the-art video reflection removal with fast inference. Videos captured through glass often contain reflections that degrade visual quality and interfere with downstream vision tasks. Although single-image reflection removal has been extensively stu