Neural implicit surface parameterization and texture reconstruction

Xu, Zihang, Deng, Bailin ORCID: https://orcid.org/0000-0002-0158-7670 and Zhang, Juyong 2025. Neural implicit surface parameterization and texture reconstruction. Journal of Computer-Aided Design and Computer Graphics 10.3724/SP.J.1089.2024-00606 Item availability restricted.

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Abstract

Neural implicit surface texture mapping plays a crucial role in high-fidelity multi-view reconstruction, yet existing methods still exhibit limitations in mapping robustness and detail representation. To address these issues, we propose a joint learning framework for surface parameterization and texture mapping based on neural signed distance function (SDF) implicit surface reconstruction. The proposed method first samples rays within masks and computes their intersection points with implicit surfaces. These 3D intersection coordinates are fed into a parameterization network F to estimate parameterized coordinates, while an inverse mapping network G is employed to enhance mapping robustness. Subsequently, the parameterization process is constrained by conformal loss and equiareal loss to ensure regularity in parameterization and smoothness in generated textures. Finally, the obtained parameterized coordinates are utilized to extract texture features from neural texture maps, improving high-frequency detail reconstruction capabilities without increasing computational complexity. Experiments on the DTU dataset for novel view synthesis demonstrate that our method outperforms the mainstream NGF approach, achieving average improvements of approximately 12.21% in peak signal-to-noise ratio (PSNR) and 6.51% in structural similarity index (SSIM), thereby validating the effectiveness and superiority of the proposed approach.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Schools > Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Language other than English:	Chinese
Date of First Compliant Deposit:	3 August 2025
Date of Acceptance:	25 May 2025
Last Modified:	04 Aug 2025 11:30
URI:	https://orca.cardiff.ac.uk/id/eprint/180207

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