DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching

• URL: http://arxiv.org/abs/2606.22445v1
• Date: Sun, 21 Jun 2026 11:41:32 GMT
• Title: DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching
• Abstract summary: We present DreamUV, an end-to-end learning framework that formulates UV unwrapping as a generative Flow Matching problem.<n>We evaluate DreamUV on a large-scale dataset of professionally authored UV layouts.
• Score: 16.305062860577557
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: UV parameterization is a fundamental step in 3D content creation, yet producing production-ready UV layouts remains challenging due to the gap between geometric distortion objectives and the stylistic preferences of professional artists. While classical methods optimize handcrafted energy functions, artist-authored UVs exhibit structural patterns such as straightened seams, axis-aligned islands, and flexible interior deformation, properties that are difficult to explicitly formulate. In this work, we present DreamUV, an end-to-end learning framework that formulates UV unwrapping as a generative Flow Matching problem. Rather than predicting a single optimal parameterization, DreamUV learns a mesh-conditioned transport process that maps noise samples to a distribution of artist-like UV layouts. To reflect real-world authoring practices, we introduce a boundary-aware training strategy that prioritizes seam geometry, and a Model-in-the-Loop Finetuning(MITL) scheme that explicitly accounts for discretization errors during sampling and stabilizes transport dynamics under heterogeneous supervision. We evaluate DreamUV on a large-scale dataset of professionally authored UV layouts. Experiments demonstrate that our method produces significantly straighter boundaries and tighter axis-aligned islands than both classical and learning-based baselines, while maintaining competitive distortion metrics. Qualitative results and a user study with professional artists further confirm that DreamUV generates UV layouts that are not only valid, but aligned with practical production requirements.

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