Shypd.aiThe largest open index of AI toolspytorch-dense-correspondence is a Coding & Development tool that provides the reference implementation for "Dense Object Nets." It enables learning dense visual object descriptors for robotic manipulation tasks, supporting both rigid and deformable objects.
Trending
About
pytorch-dense-correspondence is the reference implementation for the paper "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation." This project focuses on learning dense descriptor networks for previously unseen, potentially deformable objects, and classes of objects. It demonstrates the use of Dense Object Nets for robotic manipulation tasks, including grasping specific points on objects across deformed configurations and transferring grasps across object classes. The repository provides a PyTorch implementation, with a tutorial available for getting started, and supports multi-object descriptor learning. It also includes novel contributions for acquiring descriptors that generalize across object classes or are distinct for each object instance.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
