Holly Rushmeier — accepted AI-conference papers

2025

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

Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Soren Pirk, Jorge Alejandro Amador Herrera +5

ICLR 2025spotlight

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 hair structure and local curl patterns, we propose to disentangle them using a PCA-based strand representation in the fr…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2022

NeMF: Neural Motion Fields for Kinematic Animation

Chengan He, Jun Saito, James Zachary, Holly Rushmeier, Yi Zhou

NeurIPS 2022accept

We present an implicit neural representation to learn the spatio-temporal space of kinematic motions. Unlike previous work that represents motion as discrete sequential samples, we propose to express the vast motion space as a continuous function over time, hence the name Neural Motion Fields (NeMF)…

Cited by 58 Source ↗PDF ↗Scholar ↗