Weijie Lyu

I am a third year EECS Ph.D. candidate at University of California, Merced, advised by Prof. Ming-Hsuan Yang.

I am currently a research intern at ByteDance, advised by Dr. Yujing Wang. I have had the privilege of working closely with Dr. Zhixin Shu at Adobe Research, Dr. Xueting Li, Dr. Yi-Hsuan Tsai, and Dr. Abhijit Kundu.

I obtained my Master of Science in Computer Science degree from University of Illinois at Urbana-Champaign, advised by Prof. Derek Hoiem.

I obtained my Bachelor of Engineering degree from ShanghaiTech University, majoring in Computer Science and Technology. I spent my junior year as a visiting student and undergraduate researcher at University of California, Berkeley.

Email / CV / Google Scholar / Semantic Scholar / GitHub / LinkedIn

Actively looking for 2026 summer intern opportunities. Please let me know if you are interested!

News

[Feb. 2026] FaceCam is accepted by CVPR 2026. See you in Denver!

[Feb. 2026] Start my research internship at ByteDance.

[Dec. 2025] Check out Edit3r, our method for instant 3D scene reconstruction and editing.

[Nov. 2025] Successfully passed my qualifying exam and am now a PhD candidate!

[Sept. 2025] Two papers InstaInpaint and HoliGS are accepted by NeurIPS 2025.

[June 2025] FaceLift is accepted by ICCV 2025.

Education

University of California, Merced
Ph.D. in EECS
Aug. 2023 – Present

University of Illinois, Urbana-Champaign
M.S. in Computer Science
Aug. 2021 – May 2023

University of California, Berkeley
Undergrad Researcher
Jan. 2020 – Aug. 2020

ShanghaiTech University
B.E. in Computer Science
Sept. 2017 – July 2021

Work Experience

ByteDance
Research Scientist Intern
Feb. 2026 – Present

Adobe Research
Research Scientist Intern
May 2024 – Jan. 2026

Publications and Preprints

	FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning Weijie Lyu, Ming-Hsuan Yang, Zhixin Shu CVPR 2026 Project Page / arXiv / GitHub
	Edit3r: Instant 3D Scene Editing from Sparse Unposed Images Jiageng Liu, Weijie Lyu, Xueting Li, Yejie Guo, Ming-Hsuan Yang arXiv 2025 Project Page / arXiv / GitHub
	InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model Junqi You, Chieh Hubert Lin, Weijie Lyu, Zhengbo Zhang, Ming-Hsuan Yang NeurIPS 2025 Project Page / arXiv / GitHub
	HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis Xiaoyuan Wang, Yizhou Zhao, Botao Ye, Xiaojun Shan, Weijie Lyu, Lu Qi, Kelvin C.K. Chan, Yinxiao Li, Ming-Hsuan Yang NeurIPS 2025 arXiv
	FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu ICCV 2025 Project Page / arXiv / Demo / GitHub
	Gaga: Group Any Gaussians via 3D-aware Memory Bank Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang arXiv 2024 Project Page / arXiv / GitHub
	PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai CVPR 2024 Paper / arXiv / GitHub
	Continual Learning in Open-vocabulary Classification with Complementary Memory Systems Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem TMLR 2024 arXiv / GitHub
	Consistent Multimodal Generation via A Unified GAN Framework Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem WACV 2024 Paper / arXiv / GitHub
	SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li NeurIPS 2022 Project Page / Paper / arXiv / GitHub
	CircuitBot: Learning to Survive with Robotic Circuit Drawing Xianglong Tan, Weijie Lyu, Andre Rosendo PLOS ONE 2022 Paper

Academic Services

Conference Reviewer: CVPR, ICCV, ICLR, NeurIPS, Eurographics, ACCV, etc.

Journal Reviewer: TPAMI, TMLR, etc.

Updated Nov. 2025. Template from Jon Barron