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Name: hiyyg
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Name: hiyyg
Type: User
2D-3D Matching
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
The project page of paper 2D3D-MatchNet
[ICCV2023] 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
3D Scene Annotation and Dataset Toolkit
Code for 3D-LLM: Injecting the 3D World into Large Language Models
3D Point Capsule Networks
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Source code of CVPR 2023 paper
A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter
3D object reconstruction with multi-view RGB-D images.
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
[CVPR 2024] 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
Code Notes (in Chinese) for 3D Gaussian Splatting
[CVPR 2024 Highlight] Official repository for the paper "3DGStream: On-the-fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos".
[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)
[TII 2023] Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation
6D - Pose Annotation Tool (6D-PAT) - is a tool that allows the user to load a set of images and also a set of 3D models and annotate where in the 2D image the 3D object ist placed.
6D rotation representation ("On the Continuity of Rotation Representations in Neural Networks") for tensorflow
6D Assembly Pose Estimation by Point Cloud Registration for Robot Manipulation
Code of the paper: 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
An interactive 6 degree-of-freedom (DoF) pose annotation tool using point cloud processings.
Advanced implementation of LOAM
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)
A1 SLAM: Quadruped SLAM using the A1's onboard sensors
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.