no code implementations • ICCV 2023 • Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or
In this paper, we present a technique to generate a collection of images that depicts variations in the shape of a specific object, enabling an object-level shape exploration process.
1 code implementation • 31 Mar 2020 • Idan Azuri, Daphna Weinshall
GLICO learns a mapping from the training examples to a latent space and a generator that generates images from vectors in the latent space.