Huiwen Chang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 56

Top Topics

Reversible Watermarking

Visual Representation

Image Synthesis

Diffusion Models

Top Venues

Publications

Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. ICLR (2024)
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. CoRR (2023)
Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. CoRR (2023)
Kaifeng Chen, Daniel Salz, Huiwen Chang, Kihyuk Sohn, Dilip Krishnan, Mojtaba Seyedhosseini
Improve Supervised Representation Learning with Masked Image Modeling. CoRR (2023)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CVPR (2023)
José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa
Discrete Predictor-Corrector Diffusion Models for Image Synthesis. ICLR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML (2023)
Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. CoRR (2023)
Kihyuk Sohn, Albert Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa
Learning Disentangled Prompts for Compositional Image Synthesis. CoRR (2023)
Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim
Soundini: Sound-Guided Diffusion for Natural Video Editing. CoRR (2023)
Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR (2023)
Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. ICCV (2023)
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
StyleDrop: Text-to-Image Synthesis of Any Style. NeurIPS (2023)
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. NeurIPS (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV (2023)
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
StyleDrop: Text-to-Image Generation in Any Style. CoRR (2023)
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
Imagic: Text-Based Real Image Editing with Diffusion Models. CVPR (2023)
Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang
Visual Prompt Tuning for Generative Transfer Learning. CVPR (2023)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CVPR (2022)
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
Improved Masked Image Generation with Token-Critic. ECCV (23) (2022)
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. ECCV (17) (2022)
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR (2022)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CVPR (2022)
Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CoRR (2022)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CoRR (2022)
Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang
Visual Prompt Tuning for Generative Transfer Learning. CoRR (2022)
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
Improved Masked Image Generation with Token-Critic. CoRR (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CoRR (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CVPR (2022)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. ICLR (2022)
Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba
Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. CVPR Workshops (2022)
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani
Imagic: Text-Based Real Image Editing with Diffusion Models. CoRR (2022)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2022)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR (2021)
Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih
OCONet: Image Extrapolation by Object Completion. CVPR (2021)
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa
BLT: Bidirectional Layout Transformer for Controllable Layout Generation. CoRR (2021)
Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun
Pyramid Adversarial Training Improves ViT Performance. CoRR (2021)
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
ViTGAN: Training GANs with Vision Transformers. CoRR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV (2021)
Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang
DVMark: A Deep Multiscale Framework for Video Watermarking. CoRR (2021)
Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. CoRR (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR (2021)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR (2021)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. CoRR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR (2021)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CoRR (2020)
Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba
Zoom-to-Inpaint: Image Inpainting with High Frequency Details. CoRR (2020)
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
Distortion Agnostic Deep Watermarking. CVPR (2020)
Amit Raj, Patsorn Sangkloy, Huiwen Chang, James Hays, Duygu Ceylan, Jingwan Lu
SwapNet: Image Based Garment Transfer. ECCV (12) (2018)
Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. CVPR (2018)
Huiwen Chang, Michael F. Cohen
Panning and Zooming High-Resolution Panoramas in Virtual Reality Devices. UIST (2017)
Huiwen Chang, Fisher Yu, Jue Wang, Douglas Ashley, Adam Finkelstein
Automatic triage for a photo series. ACM Trans. Graph. 35 (4) (2016)
Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein
Palette-based photo recoloring. ACM Trans. Graph. 34 (4) (2015)
Jiangtao Wen, Shunyao Li, Yao Lu, Meiyuan Fang, Xuan Dong, Huiwen Chang, Pin Tao
Cross Segment Decoding for Improved Quality of Experience for Video Applications. DCC (2013)
Kaiming He, Huiwen Chang, Jian Sun
Content-Aware Rotation. ICCV (2013)
Kaiming He, Huiwen Chang, Jian Sun
Rectangling panoramic images via warping. ACM Trans. Graph. 32 (4) (2013)