CVNov 24, 2025

LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context

arXiv:2511.19437v11 citationsHas Code
Originality Incremental advance
AI Analysis

This work improves texture generation for computer graphics applications, but it appears incremental as it builds on existing methods with specific enhancements.

The paper tackled the problem of generating high-fidelity PBR textures by addressing challenges in materials decomposition and seamless texture completion, resulting in state-of-the-art performance in texture quality.

Physically-based rendering (PBR) provides a principled standard for realistic material-lighting interactions in computer graphics. Despite recent advances in generating PBR textures, existing methods fail to address two fundamental challenges: 1) materials decomposition from image prompts under limited illumination cues, and 2) seamless and view-consistent texture completion. To this end, we propose LumiTex, an end-to-end framework that comprises three key components: (1) a multi-branch generation scheme that disentangles albedo and metallic-roughness under shared illumination priors for robust material understanding, (2) a lighting-aware material attention mechanism that injects illumination context into the decoding process for physically grounded generation of albedo, metallic, and roughness maps, and (3) a geometry-guided inpainting module based on a large view synthesis model that enriches texture coverage and ensures seamless, view-consistent UV completion. Extensive experiments demonstrate that LumiTex achieves state-of-the-art performance in texture quality, surpassing both existing open-source and commercial methods.

Foundations

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