Lists (2)
Sort Name ascending (A-Z)
Stars
Reinforcement Learning Environments for Omniverse Isaac Gym
Unified framework for robot learning built on NVIDIA Isaac Sim
TPAMI:Frequency-aware Feature Fusion for Dense Image Prediction
Fast and embedded solvers for nonlinear optimal control
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Implementation for ECCV2022 paper "Learning Regional Purity for Instance Segmentation on 3D Point Clouds"
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
A high performance implementation of HDBSCAN clustering.
Code for "3D Instance Segmentation via Multi-Task Metric Learning"
Code for Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning
PyViz3D is a web-based visualizer for 3D objects and point clouds.
Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"
[CVPR 2023] We propose a framework for the challenging 3D-aware ObjectNav based on two straightforward sub-policies. The two sub-polices, namely corner-guided exploration policy and category-aware …
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
An elegant PyTorch deep reinforcement learning library.
Object-oriented pure Python B-Spline and NURBS library
Deep Hough Voting for 3D Object Detection in Point Clouds
Code release for "Semantic Segmentation-Assisted Instance Feature Fusion for Multi-level 3D Part Instance Segmentation" (Computational Visual Media, 2022)