32 citations · 100 across the 47 of their papers we have counts for
5 papers · 2 filters
Optimize and Reduce: A Top-Down Approach for Image Vectorization
Or Hirschorn, Amir Jevnisek, Shai Avidan
Vector image representation is a popular choice when editability and flexibility in resolution are desired. However, most images are only available in raster form, making raster-to…
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
Dvir Samuel, Barak Meiri, Haggai Maron +5
Diffusion inversion is the problem of taking an image and a text prompt that describes it and finding a noise latent that would generate the exact same image. Most current determin…
A Graph-Based Approach for Category-Agnostic Pose Estimation
Or Hirschorn, Shai Avidan
Traditional 2D pose estimation models are limited by their category-specific design, making them suitable only for predefined object categories. This restriction becomes particular…
Prior based Sampling for Adaptive LiDAR
Amit Shomer, Shai Avidan
We propose SampleDepth, a Convolutional Neural Network (CNN), that is suited for an adaptive LiDAR. Typically,LiDAR sampling strategy is pre-defined, constant and independent of th…
Securing Neural Networks with Knapsack Optimization
Yakir Gorski, Amir Jevnisek, Shai Avidan
MLaaS Service Providers (SPs) holding a Neural Network would like to keep the Neural Network weights secret. On the other hand, users wish to utilize the SPs' Neural Network for in…