Ran Luo
University of New Mexico
9 Papers
3 Citations
Ran Luo is an academic researcher from University of New Mexico. The author has contributed to research in topics: Computer science & Inpainting. The author has an hindex of 4, co-authored 8 publications. Previous affiliations of Ran Luo include Samsung.
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Papers
NNWarp: Neural Network-Based Nonlinear Deformation
TL;DR: NNWarp as discussed by the authors reconstructs the force-displacement relation via warping the nodal displacement simulated using a simplistic constitutive model, which can handle a wide range of 3D models of various geometry.
66
Medial Elastics: Efficient and Collision-Ready Deformation via Medial Axis Transform
TL;DR: The primary feature of this system is the seamless integration of deformable simulation and collision culling, which are often independently handled in existing animation systems, and it produces convincing animations with all of the collisions/self-collisions well handled at an interactive rate.
30
Acoustic VR in the mouth: A real-time speech-driven visual tongue system
Ran Luo,Qiang Fang,Jianguo Wei,Wenhuan Lu,Weiwei Xu,Yin Yang +5 more
- 18 Mar 2017
TL;DR: An acoustic-VR system that converts acoustic signals of human language (Chinese) to realistic 3D tongue animation sequences in real time and is able to deliver a realistic visual tongue animation corresponding to a user's speech signal is proposed.
12
Scan2Avatar: Automatic Rigging for 3D Raw Human Scans
Saifeng Ni,Ran Luo,Yue Zhang,Madhukar Budagavi,Andrew Joseph Dickerson,Abhishek Nagar,Xiaohu Guo +6 more
- 17 Aug 2020
TL;DR: A powerful rigging pipeline is proposed to automatically rig the raw scans of human model by fitting a Rigged Parametric Body Model (RPBM) to the scan with a novel and effective energy formulation and transferring the rigging information from the RPBM to the avatar.
4
Patent
Method and apparatus for rigging 3d scanned human models
Ran Luo,Xiaohu Guo,Saifeng Ni +2 more
- 18 Feb 2021
TL;DR: In this article, an electronic device for object rigging includes a processor that is configured to obtain a 3D scan of an object and match a rigged parametric model to the 3D scans by minimizing a surface distance and 3D joint errors between the rigged model and the scan.