Dataset Groups Activity Stream 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. BibTex: @dataset{Ricardo_Martin-Brualla_and_Rohit_Pandey_and_Sofien_Bouaziz_and_Matthew_Brown_and_Dan_B_Goldman_2024, abstract = {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.}, author = {Ricardo Martin-Brualla and Rohit Pandey and Sofien Bouaziz and Matthew Brown and Dan B Goldman}, doi = {10.57702/4f5bqt1y}, institution = {No Organization}, keyword = {'3D Reconstruction', 'Generative Modeling', 'Neural Rendering', 'Texture Mapping'}, month = {dec}, publisher = {TIB}, title = {GeLaTO: Generative Latent Textured Objects}, url = {https://service.tib.eu/ldmservice/dataset/gelato--generative-latent-textured-objects}, year = {2024} }
