Pytorch❤️ Keras 😋😋

PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

Autoencoder model for Point Clouds implemented in PyTorch

Implementing a simple diffusion model from scratch

PyTorch denoising diffusion demo

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)

Official Implement of the Paper "Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space"

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Official repository for CVPR 2024 highlight paper 4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations.

Pipeline for segmenting trees and estimating traits from LiDAR data.

[ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

TensorFlow 2 implementation of 3DBoNet designed for being almost completely in pure TensorFlow (Only one custom op!), extendibile and modular.

Code for the paper "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds"

Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

a programming library with geometric algorithms

A list of point cloud scene flow papers, codes and datasets.

Skeletonization of 3D Point Clouds

A shift-window based transformer for 3D sparse tasks

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D (Volumetric) Image Volumes

Extract individual trees from lidar point clouds

Accurate, detailed, and automatic modelling of laser-scanned trees

A lightweight, easy-to-use, and efficient library for processing and rendering 3D data (C++ & Python)

[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)