GeLaTO: Generative Latent Textured Objects

A compact representation that combines a set of coarse shape proxies with learned neural textures to encode both medium and fine scale geometry as well as view-dependent appearance.

Data and Resources

Cite this as

Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman (2024). Dataset: GeLaTO: Generative Latent Textured Objects. https://doi.org/10.57702/4f5bqt1y

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Ricardo Martin-Brualla
More Authors
Rohit Pandey
Sofien Bouaziz
Matthew Brown
Dan B Goldman
Homepage https://gelato-paper.github.io