Lists (14)
Stars
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
OctFormer: Octree-based Transformers for 3D Point Clouds
[NeurIPS 2022] Pytorch Implementation of SNAKE
High-Resolution Image Synthesis with Latent Diffusion Models
Stable Diffusion web UI
PyTorch code and models for the DINOv2 self-supervised learning method.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Papers and Datasets about Point Cloud.
The summary of code and paper for salient object detection with deep learning.
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation (ICRA2023)
KeypointDETR: An End-to-End 3D Keypoint Detector [ECCV 2024 Oral]
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
Supplementary code for the paper "Hyperbolic Image Embeddings".
HECPG: Hyperbolic Embedding and Confident Patch-Guided Network for Point Cloud Matching (TGRS 2024)
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
The official repository of the paper "Hyperbolic Chamfer Distance for Point Cloud Completion" published at ICCV 2023
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
[NN 2024] Code Release of Unsupervised Distribution-aware Keypoints Generation from 3D Point Clouds
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Chamfer Distance in Pytorch with f-score
Repository of the CVPR paper "Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected Features".
Repository of the ECCV 2024 paper "SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes"
Repository of the ICCV23 paper "SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data"
Synchronized Spectral CNN for 3D Shape Segmentation.
Code for PCN: Point Completion Network in 3DV'18 (Oral)
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
Official repo for 'MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment' IJCAI2023