Huiwen Chang

Researcher, OpenAI

Joined

July 2019

Names

Huiwen Chang

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

****@openai.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

OpenAI (openai.com)

2023 – Present

Researcher

Research, Google (research.google.com)

2018 – 2023

PhD student

Princeton University (princeton.edu)

2013 – 2017

Undergrad student

Tsinghua University (tsinghua.edu.cn)

2009 – 2013

Advisors, Relations & Conflicts

Coworker

Bill Freeman

2018 – 2023

Coworker

Ce Liu

2018 – 2022

PhD Advisor

Adam Finkelstein

2013 – 2018

Expertise

Image synthesis and processing

Present

Deep generative models

Present

Multi-modality generative models

Present

Publications

Vq3d: Learning a 3d-aware generative model on imagenet
Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun
- 23 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Oconet: Image extrapolation by object completion
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
- 23 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
- ICLR 2024 spotlight
- 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
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
- NeurIPS 2023 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
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
- 15 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
- 15 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Improved Masked Image Generation with Token-Critic
Jose Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
- 15 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
Jose Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa
- Published: 01 Feb 2023, Last Modified: 28 Feb 2023
- ICLR 2023 poster
- Readers: Everyone

View all 18 publications

Co-Authors

View all 62 co-authors