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: ▻ ↧ HorizonRelight HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers.
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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
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