LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
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arXiv
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918216647835648 |
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| author | Bao, Jingzhi Chen, Hongze Zhu, Lingting Liu, Chenyu Zhang, Runze Luo, Keyang Hu, Zeyu Chen, Weikai Yin, Yingda Wang, Xin Lin, Zehong Zhang, Jun Han, Xiaoguang |
| author_facet | Bao, Jingzhi Chen, Hongze Zhu, Lingting Liu, Chenyu Zhang, Runze Luo, Keyang Hu, Zeyu Chen, Weikai Yin, Yingda Wang, Xin Lin, Zehong Zhang, Jun Han, Xiaoguang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_19437 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context Bao, Jingzhi Chen, Hongze Zhu, Lingting Liu, Chenyu Zhang, Runze Luo, Keyang Hu, Zeyu Chen, Weikai Yin, Yingda Wang, Xin Lin, Zehong Zhang, Jun Han, Xiaoguang Computer Vision and Pattern Recognition 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. |
| title | LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2511.19437 |