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Survey paper details advances in neural 3D mesh texturing

A new survey paper published on arXiv details recent advancements in neural 3D mesh texturing. It covers methods for texture synthesis, transfer, and completion, organizing the literature from early GAN-based approaches to modern diffusion models. The paper also analyzes common architectures, supervision strategies, datasets, and evaluation protocols, while discussing emerging applications and open challenges in the field. AI

RANK_REASON The cluster contains a survey paper on a specific research topic in computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Sai Raj Kishore Perla, Hao Zhang, Ali Mahdavi-Amiri ·

    Advances in Neural 3D Mesh Texturing: A Survey

    arXiv:2606.00137v1 Announce Type: new Abstract: Texturing 3D meshes plays a vital role in determining the visual realism of digital objects and scenes. Although recent generative 3D approaches based on Neural Radiance Fields and Gaussian Splatting can produce textured assets dire…