activity
20232025
most citedGRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency

3 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GR2025

Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation

Chengan He, Jorge Alejandro Amador Herrera, Zhixin Shu +9

We introduce Digital Salon, a comprehensive hair authoring system that supports real-time 3D hair generation, simulation, and rendering. Unlike existing methods that focus on isola…

cs.CV2024

FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads

Weijie Lyu, Yi Zhou, Ming-Hsuan Yang +1

We present FaceLift, a novel feed-forward approach for generalizable high-quality 360-degree 3D head reconstruction from a single image. Our pipeline first employs a multi-view lat…

cs.GR2024

Augmented Mass-Spring model for Real-Time Dense Hair Simulation

Jorge Alejandro Amador Herrera, Yi Zhou, Xin Sun +4

We propose a novel Augmented Mass-Spring (AMS) model for real-time simulation of dense hair at strand level. Our approach considers the traditional edge, bending, and torsional deg…

cs.CV2024

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Chengan He, Xin Sun, Zhixin Shu +8

We present Perm, a learned parametric representation of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global…

cs.CV2024

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Desai Xie, Sai Bi, Zhixin Shu +7

We present LRM-Zero, a Large Reconstruction Model (LRM) trained entirely on synthesized 3D data, achieving high-quality sparse-view 3D reconstruction. The core of LRM-Zero is our p…

cs.CV2023

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

Desai Xie, Jiahao Li, Hao Tan +6

Multi-view diffusion models, obtained by applying Supervised Finetuning (SFT) to text-to-image diffusion models, have driven recent breakthroughs in text-to-3D research. However, d…

cs.CV2023★ 3 cited

GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency

Omid Taheri, Yi Zhou, Dimitrios Tzionas +4

Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object inter…