Classifying point clouds of different objects using PointNet

🔥OSN in PyTorch (ICML 2024)

DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters

This package contains scripts for reading and visualising LIDAR data

Binaries of geo-11 by davegl1234 & co.

My master thesis implementation

Tutorial for peers interested in 3D Reconstruction, covering various subfields related to Generative Models (Diffusion-based), Multimodal Learning (e.g. Text-to-Image, Multi-sensor Fusion, LLM-based), Human Motion Prediction, Image Synthesis and Editing etc.

PyTorchGeoNodes is a differentiable module for reconstructing 3D objects from images using interpretable shape programs.

(3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications

This repository showcases our project, presenting an innovative approach to 3D Indoor Mapping and Object Segmentation. With a primary focus on robot navigation in complex environments, we introduce a methodology that uses RGB images for mapping and object segmentation by integrating SimpleRecon and Point-Voxel CNN for efficient scene reconstruction

a general depth map estimator for both monocular and binocular cases.

Official code of UFORecon (CVPR 2024)

[CVPR 24] MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation

[ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377

Using adpative feature grid to reduce the memory of NICE-SLAM

Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)

[IROS 2020] Indoor Scene Recognition in 3D

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds