Weijie Lyu

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

I obtained my Master of Science in Computer Science degree from University of Illinois at Urbana-Champaign, advised by Prof. Derek Hoiem. I was also fortunate to work with Prof. Bo Li.

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. Paper and code will be released soon!

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

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

[June 2025] FaceLift is accepted by ICCV 2025.

[May 2025] Return to Adobe Research as a research intern.

Research Experience

Adobe Research

Research Scientist Intern

May 2024 - Jan. 2026

University of California, Merced

Research Assistant

Aug. 2023 - Present

University of Illinois, Urbana-Champaign

Research Assistant

Aug. 2021 - May 2023

University of California, Berkeley

Undergraduate Researcher

Jan. 2020 - Aug. 2020

ShanghaiTech University

Undergraduate Researcher

May 2020 - July 2021

Publications and Preprints

	FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning Weijie Lyu, Ming-Hsuan Yang, Zhixin Shu CVPR 2026 Paper and code will be released soon!
	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 / 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