collaborators

7 papers

cs.LG2026

Continuous-Time Cloth Dynamics with Physics-Informed Neural ODEs

Yingdong Ru, Lipeng Zhuang, Zhuo He +1

We present ContinuousCloth, a continuous-time, physics-informed neural solver for deformable cloth dynamics that enforces a spring--mass ODE within a neural trajectory model. Unlik…

cs.RO2026

ClothCode: Generative Modeling for Garment State Estimation and Dynamics Prediction

Yingdong Ru, Lipeng Zhuang, Shiyu Fan +3

We introduce ClothCode, a unified generative framework for garment state estimation and action-conditioned dynamics prediction in a shared discrete configuration space. A material-…

cs.RO2026

FoldBack: Self-Correcting Masked Generative Policy for Long-Horizon Garment Folding

Lipeng Zhuang, Shiyu Fan, Yingdong Ru +4

We present FoldBack, a self-correcting masked generative policy for long-horizon garment folding. Existing long-trajectory policies may continue after a missed or slipped grasp eve…

cs.CV2025

A Convolutional Neural Deferred Shader for Physics Based Rendering

Zhuo He, Yingdong Ru, Qianying Liu +2

Recent advances in neural rendering have achieved impressive results on photorealistic shading and relighting, by using a multilayer perceptron (MLP) as a regression model to learn…

cs.CV2025

Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields

Zhuo He, Paul Henderson, Nicolas Pugeault

StyleGAN has demonstrated the ability of GANs to synthesize highly-realistic faces of imaginary people from random noise. One limitation of GAN-based image generation is the diffic…

cs.CV2025

Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-realistic Rendering

Zhuo He, Paul Henderson, Nicolas Pugeault

Deep learning based rendering has achieved major improvements in photo-realistic image synthesis, with potential applications including visual effects in movies and photo-realistic…

cs.RO2025

Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?

Yingdong Ru, Lipeng Zhuang, Zhuo He +2

This paper presents a rigorous evaluation of Real-to-Sim parameter estimation approaches for fabric manipulation in robotics. The study systematically assesses three state-of-the-a…