activity
20212025
most citedLearning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization

10 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025★ 1 cited

SAM 3D: 3Dfy Anything in Images

SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20

We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images,…

cs.GR2025

PGC: Physics-Based Gaussian Cloth from a Single Pose

Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9

We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…

cs.CV2024

CRAFT: Designing Creative and Functional 3D Objects

Michelle Guo, Mia Tang, Hannah Cha +3

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these t…

cs.RO2023

Learning to Design and Use Tools for Robotic Manipulation

Ziang Liu, Stephen Tian, Michelle Guo +2

When limited by their own morphologies, humans and some species of animals have the remarkable ability to use objects from the environment toward accomplishing otherwise impossible…

cs.CV2023★ 9 cited

Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition

Hong-Xing Yu, Michelle Guo, Alireza Fathi +5

Photorealistic object appearance modeling from 2D images is a constant topic in vision and graphics. While neural implicit methods (such as Neural Radiance Fields) have shown high-…

cs.RO2022★ 2 cited

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects

Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo +5

We present a differentiable pipeline for simulating the motion of objects that represent their geometry as a continuous density field parameterized as a deep network. This includes…

cs.RO2022★ 10 cited

Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization

Albert Wu, Michelle Guo, C. Karen Liu

To fully utilize the versatility of a multi-fingered dexterous robotic hand for executing diverse object grasps, one must consider the rich physical constraints introduced by hand-…

cs.GR2021★ 2 cited

DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI

Yifeng Jiang, Michelle Guo, Jiangshan Li +3

Creating virtual humans with embodied, human-like perceptual and actuation constraints has the promise to provide an integrated simulation platform for many scientific and engineer…