75 citations · 167 across the 7 of their papers we have counts for
7 papers
Complex Locomotion Skill Learning via Differentiable Physics
Yu Fang, Jiancheng Liu, Mingrui Zhang +6
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers. However, existing work typically only delivers NN controllers with limited…
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang, Yuanming Hu, Tao Du +4
Simulated virtual environments serve as one of the main driving forces behind developing and evaluating skill learning algorithms. However, existing environments typically only sim…
AsyncTaichi: On-the-fly Inter-kernel Optimizations for Imperative and Spatially Sparse Programming
Yuanming Hu, Mingkuan Xu, Ye Kuang +1
Leveraging spatial sparsity has become a popular approach to accelerate 3D computer graphics applications. Spatially sparse data structures and efficient sparse kernels (such as pa…
DiffTaichi: Differentiable Programming for Physical Simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li +4
We present DiffTaichi, a new differentiable programming language tailored for building high-performance differentiable physical simulators. Based on an imperative programming langu…
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg +5
Physical simulators have been widely used in robot planning and control. Among them, differentiable simulators are particularly favored, as they can be incorporated into gradient-b…
Taichi: An Open-Source Computer Graphics Library
Yuanming Hu
An ideal software system in computer graphics should be a combination of innovative ideas, solid software engineering and rapid development. However, in reality these requirements…
Exposure: A White-Box Photo Post-Processing Framework
Yuanming Hu, Hao He, Chenxi Xu +2
Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to do this well. To address this problem, previous works have pro…