UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
Seams, distortions, wasted UV space, vertex-duplication, and varying resolution over the surface are the most prominent issues of the standard UV-based texturing of meshes. These issues are particularly acute when automatic UV-unwrapping techniques are used. For this reason, instead of generating te...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Seams, distortions, wasted UV space, vertex-duplication, and varying
resolution over the surface are the most prominent issues of the standard
UV-based texturing of meshes. These issues are particularly acute when
automatic UV-unwrapping techniques are used. For this reason, instead of
generating textures in automatically generated UV-planes like most
state-of-the-art methods, we propose to represent textures as coloured
point-clouds whose colours are generated by a denoising diffusion probabilistic
model constrained to operate on the surface of 3D objects. Our sampling and
resolution agnostic generative model heavily relies on heat diffusion over the
surface of the meshes for spatial communication between points. To enable
processing of arbitrarily sampled point-cloud textures and ensure long-distance
texture consistency we introduce a fast re-sampling of the mesh spectral
properties used during the heat diffusion and introduce a novel
heat-diffusion-based self-attention mechanism. Our code and pre-trained models
are available at github.com/simofoti/UV3-TeD. |
---|---|
DOI: | 10.48550/arxiv.2408.16762 |