32 citations · 100 across the 47 of their papers we have counts for
5 papers · 2 filters
Optimize the Unseen -- Fast NeRF Cleanup with Free Space Prior
Leo Segre, Shai Avidan
Neural Radiance Fields (NeRF) have advanced photorealistic novel view synthesis, but their reliance on photometric reconstruction introduces artifacts, commonly known as "floaters"…
Memories of Forgotten Concepts
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek +2
Diffusion models dominate the space of text-to-image generation, yet they may produce undesirable outputs, including explicit content or private data. To mitigate this, concept abl…
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…
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
Leo Segre, Shai Avidan
3D scene registration is a fundamental problem in computer vision that seeks the best 6-DoF alignment between two scenes. This problem was extensively investigated in the case of p…