DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

2 code implementations • 25 Oct 2022 • Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State

Our policies are trained to adapt to a wide range of conditions in simulation.

Reinforcement Learning (RL)

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

2 code implementations • CVPR 2021 • Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler

To showcase the power of our approach, we generated datasets for 7 image segmentation tasks which include pixel-level labels for 34 human face parts, and 32 car parts.

Image Segmentation Semantic Segmentation

Self-Supervised Real-to-Sim Scene Generation

no code implementations • ICCV 2021 • Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law

Synthetic data is emerging as a promising solution to the scalability issue of supervised deep learning, especially when real data are difficult to acquire or hard to annotate.

Graph Generation Scene Generation +3

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

6 code implementations • 12 Nov 2019 • Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler

We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research.