Advances in Neural 3D Mesh Texturing: A Survey

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dc.contributor.authorPerla, Sai Raj Kishoreen_US
dc.contributor.authorZhang, Hao en_US
dc.contributor.authorMahdavi-Amiri, Ali en_US
dc.contributor.editorBönsch, Andreaen_US
dc.contributor.editorUmetani, Nobuyukien_US
dc.date.accessioned2026-04-16T11:17:09Z
dc.date.available2026-04-16T11:17:09Z
dc.date.issued2026
dc.description.abstractTexturing 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 directly, polygonal meshes remain the core representation across modeling, animation, visual effects, and gaming pipelines. Neural 3D mesh texturing therefore continues to be an essential and active area of research. In this survey, we present a comprehensive review of recent advances in neural 3D mesh texturing, covering methods for texture synthesis, transfer, and completion. We first summarize key foundations in mesh geometry, texture mapping, differentiable rendering, and neural generative models, and then organize the literature into a unified taxonomy spanning early GAN-based methods to modern diffusion-based pipelines. We further analyze common architectures and supervision strategies, review datasets and evaluation protocols, and discuss emerging applications, practical and commercial systems, and open challenges. Together, these insights provide a structured perspective on the current landscape and help guide future developments in learning-based 3D mesh texturing. Project Page: sairajk.github.io/neural-mesh-texturingen_US
dc.description.number2
dc.description.sectionheadersState of the Art Reports
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume45
dc.identifier.doi10.1111/cgf.70392
dc.identifier.issn1467-8659
dc.identifier.pages32 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70392
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70392
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies - Texturing; Image processing; Neural networks; Mesh models
dc.titleAdvances in Neural 3D Mesh Texturing: A Surveyen_US
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