Visualizing and understanding point cloud data, subsequently performing deep learning tasks on it.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

A point cloud generator for various 3d shapes

Group Project for 3D Spatial Learning Practical Course at TUM

This is a final project for CS 674: Intelligent Visual Computing.

Test metric learning with 3D Deep Learning architectures to solve a ShapeRetrieval task

This report contains a comprehensive study on unsupervised feature learning using various types of autoencoders.

COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images

awesome list of multi-view deep learning papers for 3D understanding and generation

Python package for deep learning on molecular point clouds.

This repository contains 3D-Unet Based segmentation models with different settings. I'll be comparing different models with different settings.

PL-Net3D: Robust 3D Object Class Recognition Using Geometric Models

Explore the World in 3D: 3DPointCloudLab is your gateway to the fascinating universe of 3D depth maps and point clouds. Whether you're a researcher, developer, or 3D enthusiast, our repository offers a treasure trove of tools, techniques, and insights dedicated to the exploration and manipulation of 3D spatial data.

A Framework for Generalized Steady State Neural Fluid Simulations

Repo of paper reading notes.

AIRI_pottery

Pytorch Implementation of Learning Local Shape Descriptors from Part Correspondences(ToG 2017, H Huang et al.): https://people.cs.umass.edu/~hbhuang/local_mvcnn/

GRNet: Geometric Relation Network for 3D Object Detection from Point Clouds