A 1,000-pair real-world HDR benchmark with two new affine-invariant error scores shows the best image-editing models reproduce the relative structure of real light transport but degrade in dim regions, and that VLMs fail at pixel-level light checks.
LuxRemix: Lighting Decomposition and Remixing for Indoor Scenes
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
We present a novel approach for interactive light editing in indoor scenes from a single multi-view scene capture. Our method leverages a generative image-based light decomposition model that factorizes complex indoor scene illumination into its constituent light sources. This factorization enables independent manipulation of individual light sources, specifically allowing control over their state (on/off), chromaticity, and intensity. We further introduce multi-view lighting harmonization to ensure consistent propagation of the lighting decomposition across all scene views. This is integrated into a relightable 3D Gaussian splatting representation, providing real-time interactive control over the individual light sources. Our results demonstrate highly photorealistic lighting decomposition and relighting outcomes across diverse indoor scenes. We evaluate our method on both synthetic and real-world datasets and provide a quantitative and qualitative comparison to state-of-the-art techniques. For video results and interactive demos, see https://luxremix.github.io.
fields
cs.CV 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
A video relighting system that refines a physically based re-render of the input under target lighting with a fine-tuned video diffusion model and reports state-of-the-art results on synthetic and real benchmarks.
citing papers explorer
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Do Image Editing Models Understand Lighting?
A 1,000-pair real-world HDR benchmark with two new affine-invariant error scores shows the best image-editing models reproduce the relative structure of real light transport but degrade in dim regions, and that VLMs fail at pixel-level light checks.
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LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting
A video relighting system that refines a physically based re-render of the input under target lighting with a fine-tuned video diffusion model and reports state-of-the-art results on synthetic and real benchmarks.