Search Results for author: Idan Azuri

Found 2 papers, 2 papers with code

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

1 code implementation • 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.

Denoising Object +1

Paper
Code

Generative Latent Implicit Conditional Optimization when Learning from Small Sample

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.

Ranked #1 on Small Data Image Classification on CUB-200-2011, 5 samples per class

Conditional Image Generation Data Augmentation +1

Paper
Code

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