49 citations · 70 across the 5 of their papers we have counts for
6 papers
SphereUFormer: A U-Shaped Transformer for Spherical 360 Perception
Yaniv Benny, Lior Wolf
This paper proposes a novel method for omnidirectional 360 perception. Most common previous methods relied on equirectangular projection. This representation is easily app…
Dynamic Dual-Output Diffusion Models
Yaniv Benny, Lior Wolf
Iterative denoising-based generation, also known as denoising diffusion models, has recently been shown to be comparable in quality to other classes of generative models, and even…
Generating Correct Answers for Progressive Matrices Intelligence Tests
Niv Pekar, Yaniv Benny, Lior Wolf
Raven's Progressive Matrices are multiple-choice intelligence tests, where one tries to complete the missing location in a grid of abstract images. Previous attempts to…
Scale-Localized Abstract Reasoning
Yaniv Benny, Niv Pekar, Lior Wolf
We consider the abstract relational reasoning task, which is commonly used as an intelligence test. Since some patterns have spatial rationales, while others are only semantic, we…
Evaluation Metrics for Conditional Image Generation
Yaniv Benny, Tomer Galanti, Sagie Benaim +1
We present two new metrics for evaluating generative models in the class-conditional image generation setting. These metrics are obtained by generalizing the two most popular uncon…
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering
Yaniv Benny, Lior Wolf
We present a method for simultaneously learning, in an unsupervised manner, (i) a conditional image generator, (ii) foreground extraction and segmentation, (iii) clustering into a…