A repository with a variety of meshes with minimal licensing requirements.

Interactive 3D Segmentation via Interactive Attention

Local text-driven editing of 3D shapes with Cascaded Score Distillation

A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ suppo…

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code inclu…

A conference poster format with structure, content, creation, and presentation recommendations.

Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)

GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

Localizing Regions on 3D Shapes via Text Descriptions

Maps a user-selected point to a segmentation which induces a low distortion parameterization

Project page for "Stress-Testing Point Cloud Registration on Automotive LiDAR" by Amnon Drory, Shai Avidan and Raja Giryes

SAGA: Spectral Adversarial Geometric Attack on 3D Meshes (ICCV 2023)

Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]

PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ICASSP 2023, IEEE ISIT 2022)

PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Experiment tracker: organize, visualize, compare and share runs. Removes toil from algorithm/performance R&D and tuning.

Co-occurrence Based Texture Synthesis

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

A list of papers and datasets about point cloud analysis (processing)

Convolutional Neural Network for 3D meshes in PyTorch

A learned sampling approach for point clouds (CVPR 2019)