SOURCE-LINKED INTELLIGENCE

RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Image relighting is traditionally tackled via complex inverse rendering pipelines, which suffer from ill-posed optimization, or single-image generative models that ignore crucial multi-view cues necessary for understanding 3D geometry and material interactions. To address these limitations, we introduce a feed-forward generative Transformer for direct single- and multi-view image relighting that entirely bypasses explicit intrinsic property estimation. Adapted from a video foundation model, our architecture features a latent illumination module that dynamically injects target environment maps

Read original source ↗ Open in workspace

recordType

paper

region

Global