Yuming Gu

I am a PhD Candidate in Computer Science, Viterbi School of Engineering, Unviersity of Southern California, advised by Prof. Stefanos Nikolaidis. I also work closely with Prof. Hao Li. Previously I worked at Vision and Graphics Lab.

My research interests contain Computer Vision and Diffusion Models. In particular, I am interested in using AI-generated content(images and videos) for downstream applications.

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Professional Services
Reviewer of the following conferences/journals:
CVPR, ECCV, ICCV, ACM Multimedia(MM), WACV

Experience

MBZUAI
Abu Dhabi, United Arab Emirates
Visiting Student, 2024

TikTok
San Jose, United States
Research Intern, 2023

Teaching

Teaching Assistant, CSCI 585 Database Systems
Teaching Assistant, CSCI 572 Web Engine

Publications

	DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis Yuming Gu, Phong Tran, Yujian Zheng, Hongyi Xu, Heyuan Li, Adilbek Karmanov, Hao Li. CVPR, 2025 [PDF][Page][Code] Area: Novel View Syntehsis, Diffusion Model, Head We introduce Diffportrait360, a novel approach generates fully consistent 360-degree head views, accommodating human, stylized, and anthropomorphic forms, including accessories like glasses.
	Diffportrait3d: Controllable diffusion for zero-shot portrait view synthesis Yuming Gu, You Xie, Hongyi Xu, Guoxian Song, Yichun Shi, Di Chang, Jing Yang, Linjie Luo. CVPR, 2024 (Highlight - Top 9.3%) [PDF][Page][Code] Area: Novel View Synthesis, Diffusion Model, Face We present DiffPortrait3D, a conditional diffusion model that is capable of synthesizing 3D-consistent photo-realistic novel views from as few as a single in-the-wild portrait.
	DisUnknown: Distilling Unknown Factors for Disentanglement Learning Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He ICCV, 2021 [PDF] [Page] [Code] Area: Disentanglement, neural feature We adopt a general setting where all factors that are hard to label or identify are encapsulated as a single unknown factor.
	One-Shot Identity-Preserving Portrait Reenactment Sitao Xiang, Yuming Gu, Pengda Xiang, Mingming He, Koki Nagano, Haiwei Chen, Hao Li arixv preprint, 2020 [PDF] Area: Image systhesis, human face We present a deep learning-based framework for portrait reenactment from a single picture of a target (one-shot) and a video of a driving subject.
	Protecting World Leaders Against Deep Fakes Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, Hao Li Computer Vision and Pattern Recognition (CVPR workshops), 2019 [PDF] Area: Image systhesis, Media Forensics we describe a forensic technique that models facial expressions and movements that typify an individual's speaking pattern.

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