NVIDIA and USC's HorizonRelight brings consistent relighting to long videos
NVIDIAAI · x · 2026-09-11
NVIDIA Research and USC present HorizonRelight (ECCV 2026), tackling lighting jumps when diffusion video models relight long videos in chunks. By reframing long-horizon relighting as temporally conditioned latent domain translation—propagating target-domain latents across sliding-window chunks with masked self-conditioning and a warm-start prompt anchor—the method markedly improves temporal consistency and removes chunk-boundary artifacts. Code is coming soon.
Related event: NVIDIA and USC Release HorizonRelight for Consistent Video Relighting(2 posts)→
More from Multimodal
- AI video is a new medium, not cinema or animation — and it's perfect for depicting dreams — Kyrannio · 2026-10-27
- Dad turns his toddler's 31-year-old quote into a song via SUNO kids' choir — NathanpmYoung · 2026-10-27
- Band's local-AI music video hits 200k views: 900 generations kept 64, 3-second clips beat face drift — Hwang0500 · 2026-10-27
- Adobe Firefly video editor walkthrough: one-sentence Quick Cut turns 32s into 20s — LudovicCreator · 2026-10-26
- Hi3D V1.0 open-sourced with 2M training assets and 90% slicing success rate — kimmonismus · 2026-10-26
- Claude Can Replace Your YouTube Thumbnail Designer in 10 Minutes — thedankoe · 2026-10-26