Stars
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 suggested 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.
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)