Yuanzhen Li

Software Engineer, Google

Joined

July 2019

Names

Yuanzhen Li

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

****@csail.mit.edu (Confirmed)

Personal Links

Career & Education History

Software Engineer

Google (google.com)

2019 – Present

PhD student

Massachusetts Institute of Technology (mit.edu)

2003 – 2009

MS student

Institute of Automation, Chinese Academy of Sciences (ia.cas.cn)

2000 – 2003

Advisors, Relations & Conflicts

PhD Advisor

Edward Adelson

2003 – 2009

Expertise

Generative AI

2020 – Present

Computer Vision

2000 – Present

Publications

RealFill: Reference-Driven Generation for Authentic Image Completion
Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein
- ACM Transactions on Graphics (TOG), Volume 43, Issue 4 Article No.: 135, Pages 1 - 12
- Readers: Everyone
Probing the 3D Awareness of Visual Foundation Models
Mohamed El Banani, Amit Raj, Kevis-kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas Guibas, Justin Johnson, Varun Jampani
- CVPR 2024
- Readers: Everyone
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
- ICLR 2025 Poster
- Readers: Everyone
Unbounded: A Generative Infinite Game of Character Life Simulation
Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz
- ICLR 2025 Poster
- Readers: Everyone
Magic Insert: Style-Aware Drag-and-Drop
Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
CamCtrl3D: Single-Image Scene Exploration With Precise 3D Camera Control
Stefan Popov, Amit Raj, Yuanzhen Li, Michael Krainin, William T. Freeman, Michael Rubinstein
- 3DV 2025 Poster
- Readers: Everyone
StyleDrop: Text-to-Image Synthesis of Any Style
Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin
- NeurIPS 2023 poster
- Readers: Everyone
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani
- NeurIPS 2023 poster
- Readers: Everyone
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
- ICML 2023 Poster
- Readers: Everyone

View all 39 publications

Co-Authors

View all 112 co-authors