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Texturify: Generating Textures on 3D Shape Surfaces
[article]
2022
arXiv
pre-print
Texture cues on 3D objects are key to compelling visual representations, with the possibility to create high visual fidelity with inherent spatial consistency across different views. Since the availability of textured 3D shapes remains very limited, learning a 3D-supervised data-driven method that predicts a texture based on the 3D input is very challenging. We thus propose Texturify, a GAN-based method that leverages a 3D shape dataset of an object class and learns to reproduce the
arXiv:2204.02411v1
fatcat:m3z2xhadkzhy7meng3ef5i75qa