11 citations · 14 across the 10 of their papers we have counts for
10 papers
SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
Or Hirschorn, Aaron Olender, Eli Alshan +3
We present a zero-shot, training-free and optimization-free framework for generating 360 panoramic images and videos by directly injecting spherical priors into pre-trained diffusi…
Multi-View Foundation Models
Leo Segre, Or Hirschorn, Shai Avidan
Foundation models are vital tools in various Computer Vision applications. They take as input a single RGB image and output a deep feature representation that is useful for various…
Splatent: Splatting Diffusion Latents for Novel View Synthesis
Or Hirschorn, Omer Sela, Inbar Huberman-Spiegelglas +6
Radiance field representations have recently been explored in the latent space of VAEs that are commonly used by diffusion models. This direction offers efficient rendering and sea…
Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasets
Shir Bar, Or Hirschorn, Roi Holzman +1
In the study of animal behavior, researchers often record long continuous videos, accumulating into large-scale datasets. However, the behaviors of interest are often rare compared…
Edge Weight Prediction For Category-Agnostic Pose Estimation
Or Hirschorn, Shai Avidan
Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images. Recent works have sh…
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Matan Rusanovsky, Or Hirschorn, Shai Avidan
Conventional 2D pose estimation models are constrained by their design to specific object categories. This limits their applicability to predefined objects. To overcome these limit…
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…
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…
Normalizing Flows for Human Pose Anomaly Detection
Or Hirschorn, Shai Avidan
Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more. We distill the problem to anomaly…
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps
Leo Segre, Or Hirschorn, Dvir Ginzburg +1
Image translation across domains for unpaired datasets has gained interest and great improvement lately. In medical imaging, there are multiple imaging modalities, with very differ…