Kefan (Arthur) Chen

kefan_chen@brown.edu

I'm a 3rd year Ph.D. candidate at Brown University, advised by Prof. Srinath Sridhar. My research focuses on developing intelligent agents that understand and learn dexterous skills from humans, with the goal of enabling robotic assistance for everyday tasks. My expertise spans 3D vision, Generative AI, Language Vision Models (LVM), digital humans, neural rendering, and embodied AI. Along my academic journey, I've done internships at Meta Reality Labs, Waymo Research, and NVIDIA.

Previously, I obtained my bachelor’s degree in ECE from the University of Toronto in 2018. Then, I worked as a research scientist and ML engineer at Google Research, Pinterest, and startups from 2018 to 2022. I had the honor to work with Dr. Ameesh Makadia and Prof. Noah Snavely at Google Research; Prof. Raquel Urtasun and Prof. Sanja Fidler at UofT.

CV   /   LinkedIn   /   Google Scholar

Publications

InteractAvatar: Modeling Hand-Face Interaction in Photorealistic Avatars with Deformable Gaussians
Kefan Chen, Sreyas Mohan*, Justin Theiss*, Sergiu Oprea*, Srinath Sridhar, Aayush Prakash
under review, 2025.
[Paper] [Website]

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation
Kefan Chen*, Chaerin Min*, Linguang Zhang, Shreyas Hampali, Cem Keskin, Srinath Sridhar
Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (Highlight, 2.98% acceptance rate.)
[Paper] [Website]

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping
Aashish Rai, Dilin Wang, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[Paper] [Video] [Website]

MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians
Chandradeep Pokhariya, Ishaan Shah, Angela Xing, Zekun Li, Kefan Chen, Avinash Sharma, Srinath Sridhar
Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Website] [Code] [Dataset]

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
Cheng-You Lu, Peisen Zhou, Angela Xing, Chandradeep Pokhariya, Arnab Dey, Ishaan Shah, Rugved Mavidipalli, Dylan Hu, Andrew Comport, Kefan Chen, Srinath Sridhar
Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Highlight, 2.81% acceptance rate.)
[Paper] [Video] [Website] [Code] [Dataset]

Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Kefan Chen, Noah, Snavely, Ameesh Makadia
Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Bibtex] [Video] [Website] [Code]

An Analysis of SVD for Deep Rotation Estimation
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia
Conference on Neural Information Processing Systems (NeurIPS), 2020.
[Paper] [Bibtex] [Video] [Code]

Education
prl

Brown University
Ph.D. student in Computer Science
Research Areas: 3D Vision, GenAI, Digital Human, LVM, Embodied AI, VR/XR.
2022 - 2027

prl

University of Toronto
B.Eng. in Electrical Engineering
2014 - 2018

Industry
prl

Waymo
Research Intern
Mountainview, CA
June, 2025 - Current

Research perception on L4 autonomous driving.

prl

Meta
Research Scientist Intern
Burlingame, CA
June, 2024 - Mar, 2025

Research large image and video diffusion model for dexterous hand generation.

Seattle, WA
June, 2023 - Dec, 2023

Research interactive 3D human avatars using Gaussian Splatting for realistic digital human and VR/XR.

prl

Pinterest
Machine Learning Engineer
Toronto, Canada
January, 2022 - September, 2022

ML for shopping content mining.

prl

Gatik
Toronto, Canada
September, 2020 - December, 2021

Develop long-range multimodal perception for self-driving trucks.

prl

Google Research
AI Resident
New York City, NY
June, 2018 - August, 2020

Deep learning and 3D computer vision research.

prl

Nvidia
Research Intern
Toronto, Canada
May, 2017 - August, 2017

Deep learning research in animation and robotic perception.


Template: This Guy