🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

An all-purpose window upscaler for Windows 10/11.

[CVPR 2024] GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction

[T-RO 2024] FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance.

SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain

COLMAP - Structure-from-Motion and Multi-View Stereo

Touying is a powerful package for creating presentation slides in Typst.

PyRobot: An Open Source Robotics Research Platform

Mitsuba 3: A Retargetable Forward and Inverse Renderer

Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"

rendering (optionally temporal) point clouds using Mitsuba2

Official PyTorch implementation of DeLA

[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

[ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding"(ECCV2024)

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

A generative world for general-purpose robotics & embodied AI learning.

A Fast Symbolic 3D Registration Solution

A debugging and profiling tool that can trace and visualize python code execution

An API conversion tool for popular external reinforcement learning environments

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

Code for integrating, raytracing, and meshing a TSDF on the CPU

3D Reconstruction Software

Release repo for our SLAM Handbook

ESWA - Expert Systems with Applications latex template