Highlights
- Pro
Stars
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
A particle-based encoding for Neural Radiance Fields
[ICLR2024] the official pytorch implementation of UC-NeRF
This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.
Cluster based segmentation of Point Cloud with PCL lib in ROS
A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
A modified version of ORB-SLAM3 which can create 2D grid map online or offline for AGV navigation.
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Base code for the Dingo quadruped; modified from Stanford Pupper and Notspot repositories. Includes integration with ROS Noetic and a simulation of the Dingo
aaravrav142 / ply_publisher
Forked from ANYbotics/point_cloud_ioROS node to publish a point cloud from a .ply file as PointCloud2.
ROS publisher of PLY files as a Mesh or as a Pointcloud, given input filename via rosparams or via rosservice call
A curated list of awesome neural radiance fields papers
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Fuse multiple depth frames into a TSDF voxel volume.
TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels (SIGGRAPH Asia 2022)
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
Official implementation for Tetra-NeRF paper - NeRF represented as triangulation of input point cloud.
Unofficial implementation of ZipNeRF
D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Volume rendering based surface reconstruction using Unsigned Distance Fields
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…