Code for "Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling" (CoRL 2024)

[CoRL 24] GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

[RSS24] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation

[CoRL 2024] RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

[CoRL 24 Oral] D^3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement

[RSS 23] Dynamic-Resolution Model Learning for Object Pile Manipulation

OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx

Understanding Self-Supervised Learning in a non-IID Setting

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing

A PyTorch implementation of Implicit Behavioral Cloning

A Python package that provides evaluation and visualization tools for the DexYCB dataset

Open3D: A Modern Library for 3D Data Processing

A curated list of resources on implicit neural representations.

A curated list of awesome neural radiance fields papers

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

SoftGym is a set of benchmark environments for deformable object manipulation.

[ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control

The Missing Semester of Your CS Education 📚

Models and examples built with TensorFlow

[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/

Narrow-Band Topology Optimization on a Sparsely Populated Grid, ACM Transactions on Graphics (SIGGRAPH Asia 2018)

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Project for paper "Learning 3D Human Dynamics from Video"