3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 3 cited
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
Raphael Bensadoun, Yanir Kleiman, Idan Azuri +4
The recent availability and adaptability of text-to-image models has sparked a new era in many related domains that benefit from the learned text priors as well as high-quality and…
cs.CV2023★ 2 cited
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri +2
Text-to-image models give rise to workflows which often begin with an exploration step, where users sift through a large collection of generated images. The global nature of the te…
cs.LG2020
Generative Latent Implicit Conditional Optimization when Learning from Small Sample
Idan Azuri, Daphna Weinshall
We revisit the long-standing problem of learning from a small sample, to which end we propose a novel method called GLICO (Generative Latent Implicit Conditional Optimization). GLI…