{"ID":2837762,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.19437","arxiv_id":"2511.19437","title":"LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context","abstract":"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.","short_abstract":"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 cue...","url_abs":"https://arxiv.org/abs/2511.19437","url_pdf":"https://arxiv.org/pdf/2511.19437v1","authors":"[\"Jingzhi Bao\",\"Hongze Chen\",\"Lingting Zhu\",\"Chenyu Liu\",\"Runze Zhang\",\"Keyang Luo\",\"Zeyu Hu\",\"Weikai Chen\",\"Yingda Yin\",\"Xin Wang\",\"Zehong Lin\",\"Jun Zhang\",\"Xiaoguang Han\"]","published":"2025-11-24T18:59:58Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}