A DINOv2-conditioned transformer decodes a triplane texture field on a given mesh, supervised by depth backprojection, producing UV-free textures in 0.2 s per shape.
Efficient geometry-aware 3d gen- erative adversarial networks.” arxiv, 2021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Scalable Attention-Based Approach for Image-to-3D Texture Mapping
A DINOv2-conditioned transformer decodes a triplane texture field on a given mesh, supervised by depth backprojection, producing UV-free textures in 0.2 s per shape.