Zobrazeno 1 - 10
of 4 659
pro vyhledávání: '"A. A. Avidan"'
Autor:
Segre, Leo, Avidan, Shai
Neural Radiance Fields (NeRF) have advanced photorealistic novel view synthesis, but their reliance on photometric reconstruction introduces artifacts, commonly known as "floaters". These artifacts degrade novel view quality, especially in areas unse
Externí odkaz:
http://arxiv.org/abs/2412.12772
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 to routine behaviors. This incurs a heavy cost on manual annotation,
Externí odkaz:
http://arxiv.org/abs/2412.03452
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 ablation techniques have been explored to limit the generation of certain
Externí odkaz:
http://arxiv.org/abs/2412.00782
Autor:
Artstein-Avidan, Shiri, Putterman, Eli
The longstanding Godbersen's conjecture states that for any convex body $K \subset \mathbb R^n$ of volume $1$ and any $j \in \{0, \ldots, n\}$, the mixed volume $V_j = V(K[j], -K[n - j])$ is bounded by $\binom{n}{j}$, with equality if and only if $K$
Externí odkaz:
http://arxiv.org/abs/2412.05308
Autor:
Hirschorn, Or, Avidan, Shai
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 shown that using a pose graph (i.e., treating keypoints as nodes in a gr
Externí odkaz:
http://arxiv.org/abs/2411.16665
In this paper we define and investigate a class of polytopes which we call "vertex generated" consisting of polytopes which are the average of their $0$ and $n$ dimensional faces. We show many results regarding this class, among them: that the class
Externí odkaz:
http://arxiv.org/abs/2407.20604
Conventional 2D pose estimation models are constrained by their design to specific object categories. This limits their applicability to predefined objects. To overcome these limitations, category-agnostic pose estimation (CAPE) emerged as a solution
Externí odkaz:
http://arxiv.org/abs/2406.00384
Curriculum learning has been growing in the domain of reinforcement learning as a method of improving training efficiency for various tasks. It involves modifying the difficulty (lessons) of the environment as the agent learns, in order to encourage
Externí odkaz:
http://arxiv.org/abs/2405.15824
Autor:
Segre, Leo, Avidan, Shai
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 point clouds and meshes, but there has been relatively limited work reg
Externí odkaz:
http://arxiv.org/abs/2404.03349
Autor:
Samuel, Dvir, Meiri, Barak, Maron, Haggai, Tewel, Yoad, Darshan, Nir, Avidan, Shai, Chechik, Gal, Ben-Ari, Rami
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 deterministic inversion techniques operate by approximately solving an implici
Externí odkaz:
http://arxiv.org/abs/2312.12540