Decoupled Illumination Priors for Spatially Controllable Multi-View Indoor Scene Relighting

• URL: http://arxiv.org/abs/2607.08879v1
• Date: Thu, 09 Jul 2026 19:09:48 GMT
• Title: Decoupled Illumination Priors for Spatially Controllable Multi-View Indoor Scene Relighting
• Abstract summary: We propose Lume-Palette, a progressive framework for spatially controllable indoor relighting.<n>The approach decouples relighting into two stages: (1) illumination distillation, which extracts canonical illumination palettes from a pretrained diffusion model, and (2) illumination casting, which explicitly maps target spatial lighting conditions.<n>Experiments on diverse synthetic scenes and real-world scenes demonstrate that Lume-Palette produces photorealistic, spatially controllable, and multi-view consistent relighting results.
• Score: 25.64036257408644
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Indoor scene relighting demands photorealism, precise spatial control, and strict multi-view consistency. While diffusion-based image editing models enable semantic lighting manipulation via text prompts, enforcing exact 3D light placement often disrupts their generative priors. We propose Lume-Palette, a progressive framework that leverages semantic lighting priors for spatially controllable multi-view indoor relighting. The approach decouples relighting into two stages: (1) illumination distillation, which extracts canonical illumination palettes from a pretrained diffusion model to preserve realistic material-light interactions, and (2) illumination casting, which explicitly maps target spatial lighting conditions defined from coarse 3D geometry. To efficiently handle dense multi-view and multi-modal inputs, we introduce an asymmetric multi-view conditioning strategy that selectively injects essential spatial context. Experiments on diverse synthetic scenes and real-world scenes demonstrate that Lume-Palette produces photorealistic, spatially controllable, and multi-view consistent relighting results. Project Page: https://cjeen.github.io/lumepalette

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