Stars
Automatically generate all constraint matrices for (lifted) QCQP problems.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
The Markdown-based note-taking app that doesn't suck.
Efficient 6-DoF Grasp Generation in Cluttered Scenes
DREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020)
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.