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GLOSS

model1 events
papersSEP 10 04:00 UTC

GLOSS: Geometric Local Self-Similarity Learning for Reference-Guided 3D Texture Generation

A new arXiv paper introduces GLOSS, a method for generating complete textures on 3D objects guided by a single reference view. The authors observe that current conditional image generators struggle to cover a full object surface while staying faithful to the reference look. GLOSS addresses this by exploiting local geometric self-similarity across the shape to propagate texture detail consistently.

3d-generation/texturing/generative-models/arxiv