activity
20192023
most citedScalable Differentiable Physics for Learning and Control

31 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

ICAR: Image-based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang +3

Scene-aware Complementary Item Retrieval (CIR) is a challenging task which requires to generate a set of compatible items across domains. Due to the subjectivity, it is difficult t…

cs.LG2022★ 10 cited

Differentiable Simulation of Soft Multi-body Systems

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1

We present a method for differentiable simulation of soft articulated bodies. Our work enables the integration of differentiable physical dynamics into gradient-based pipelines. We…

cs.LG2021★ 6 cited

Efficient Differentiable Simulation of Articulated Bodies

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1

We present a method for efficient differentiable simulation of articulated bodies. This enables integration of articulated body dynamics into deep learning frameworks, and gradient…

cs.LG2020★ 31 cited

Scalable Differentiable Physics for Learning and Control

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1

Differentiable physics is a powerful approach to learning and control problems that involve physical objects and environments. While notable progress has been made, the capabilitie…

cs.CV2019★ 13 cited

Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images

Junbang Liang, Ming C. Lin

We propose a scalable neural network framework to reconstruct the 3D mesh of a human body from multi-view images, in the subspace of the SMPL model. Use of multi-view images can si…