NVIDIA 与 USC 联合推出视频重光照模型 HorizonRelight
Most diffusion-based video models are trained on short clips. When they’re used to relight longer vi...
NVIDIA 和 USC 联合发布的新模型，能解决长视频重光照时光照不一致的问题，效果更好。
大多数基于扩散的视频模型在处理长视频时，会在不同片段之间出现光照跳跃。新模型 HorizonRelight 通过从滑动窗口传播目标域上下文，实现了更一致的光照效果，减少了边界伪影。
Most diffusion-based video models are trained on short clips. When they’re used to relight longer vi...
Most diffusion-based video models are trained on short clips. When they’re used to relight longer videos in chunks, the lighting can visibly jump between them. Meet HorizonRelight, new work from our research team and @USC . It propagates target-domain context from one sliding window to the next, helping each section pick up where the last one left off. This means more consistent lighting across long videos, with fewer boundary artifacts and unwanted appearance changes. #ECCV2026 paper + demo: nvda.ws/4xDzAYt Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 1 ❤️ 14 👀 1523 📊 3 ⚡
