Cross Segment Decoding for Improved Quality of Experience for Video Applications. - Jiangtao Wen; Shunyao Li; Yao Lu 006; Meiyuan Fang; Xuan Dong 001; Huiwen Chang; Pin Tao (DCC, 2013)

Content-Aware Rotation. - Kaiming He; Huiwen Chang; Jian Sun 001 (ICCV, 2013)

Rectangling panoramic images via warping. - Kaiming He; Huiwen Chang; Jian Sun 001 (ACM Trans. Graph., 2013)

Palette-based photo recoloring. - Huiwen Chang; Ohad Fried; Yiming Liu 001; Stephen DiVerdi; Adam Finkelstein (ACM Trans. Graph., 2015)

Automatic triage for a photo series. - Huiwen Chang; Fisher Yu 001; Jue Wang 001; Douglas Ashley; Adam Finkelstein (ACM Trans. Graph., 2016)

Panning and Zooming High-Resolution Panoramas in Virtual Reality Devices. - Huiwen Chang; Michael F. Cohen (UIST, 2017)

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. - Huiwen Chang; Jingwan Lu; Fisher Yu 001; Adam Finkelstein (CVPR, 2018)

SwapNet: Image Based Garment Transfer. - Amit Raj; Patsorn Sangkloy; Huiwen Chang; James Hays; Duygu Ceylan; Jingwan Lu (ECCV (12), 2018)

Personal Photo Enhancement - Huiwen Chang (2018)

Distortion Agnostic Deep Watermarking. - Xiyang Luo; Ruohan Zhan; Huiwen Chang; Feng Yang 008; Peyman Milanfar (CVPR, 2020)

OCONet: Image Extrapolation by Object Completion. - Richard Strong Bowen; Huiwen Chang; Charles Herrmann; Piotr Teterwak; Ce Liu 001; Ramin Zabih (CVPR, 2021)

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 001 (CVPR, 2021)

LASR: Learning Articulated Shape Reconstruction From a Monocular Video. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Huiwen Chang; Deva Ramanan; William T. Freeman; Ce Liu 001 (CVPR, 2021)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (ICCV, 2021)

MaskGIT: Masked Generative Image Transformer. - Huiwen Chang; Han Zhang 010; Lu Jiang 004; Ce Liu 001; William T. Freeman (CVPR, 2022)

Pyramid Adversarial Training Improves ViT Performance. - Charles Herrmann; Kyle Sargent; Lu Jiang 004; Ramin Zabih; Huiwen Chang; Ce Liu 001; Dilip Krishnan; Deqing Sun (CVPR, 2022)

Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. - Soo Ye Kim; Kfir Aberman; Nori Kanazawa; Rahul Garg 002; Neal Wadhwa; Huiwen Chang; Nikhil Karnad; Munchurl Kim; Orly Liba (CVPR Workshops, 2022)

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. - Innfarn Yoo; Huiwen Chang; Xiyang Luo; Ondrej Stava; Ce Liu 001; Peyman Milanfar; Feng Yang 008 (CVPR, 2022)

BLT: Bidirectional Layout Transformer for Controllable Layout Generation. - Xiang Kong; Lu Jiang 004; Huiwen Chang; Han Zhang 010; Yuan Hao; Haifeng Gong; Irfan Essa (ECCV (17), 2022)

Improved Masked Image Generation with Token-Critic. - José Lezama; Huiwen Chang; Lu Jiang 004; Irfan Essa (ECCV (23), 2022)

ViTGAN: Training GANs with Vision Transformers. - Kwonjoon Lee; Huiwen Chang; Lu Jiang 004; Han Zhang 010; Zhuowen Tu; Ce Liu 001 (ICLR, 2022)

Palette: Image-to-Image Diffusion Models. - Chitwan Saharia; William Chan; Huiwen Chang; Chris A. Lee; Jonathan Ho; Tim Salimans; David J. Fleet; Mohammad Norouzi 002 (SIGGRAPH (Conference Paper Track), 2022)

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. - Shlok Mishra; Joshua Robinson 001; Huiwen Chang; David Jacobs 001; Aaron Sarna; Aaron Maschinot; Dilip Krishnan (CoRR, 2022)

Imagic: Text-Based Real Image Editing with Diffusion Models. - Bahjat Kawar; Shiran Zada; Oran Lang; Omer Tov; Huiwen Chang; Tali Dekel; Inbar Mosseri; Michal Irani (CVPR, 2023)

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. - Tianhong Li; Huiwen Chang; Shlok Kumar Mishra; Han Zhang 010; Dina Katabi; Dilip Krishnan (CVPR, 2023)

Visual Prompt Tuning for Generative Transfer Learning. - Kihyuk Sohn; Huiwen Chang; José Lezama; Luisa Polania; Han Zhang 010; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

MAGVIT: Masked Generative Video Transformer. - Lijun Yu; Yong Cheng; Kihyuk Sohn; José Lezama; Han Zhang 010; Huiwen Chang; Alexander G. Hauptmann; Ming-Hsuan Yang 001; Yuan Hao; Irfan Essa; Lu Jiang 004 (CVPR, 2023)

Score-Based Diffusion Models as Principled Priors for Inverse Imaging. - Berthy T. Feng; Jamie Smith; Michael Rubinstein; Huiwen Chang; Katherine L. Bouman; William T. Freeman (ICCV, 2023)

VQ3D: Learning a 3D-Aware Generative Model on ImageNet. - Kyle Sargent; Jing Yu Koh; Han Zhang 010; Huiwen Chang; Charles Herrmann; Pratul P. Srinivasan; Jiajun Wu 001; Deqing Sun (ICCV, 2023)

Discrete Predictor-Corrector Diffusion Models for Image Synthesis. - José Lezama; Tim Salimans; Lu Jiang 004; Huiwen Chang; Jonathan Ho; Irfan Essa (ICLR, 2023)

Muse: Text-To-Image Generation via Masked Generative Transformers. - Huiwen Chang; Han Zhang 010; Jarred Barber; Aaron Maschinot; José Lezama; Lu Jiang 004; Ming-Hsuan Yang 001; Kevin Patrick Murphy; William T. Freeman; Michael Rubinstein; Yuanzhen Li; Dilip Krishnan (ICML, 2023)

StyleDrop: Text-to-Image Synthesis of Any Style. - Kihyuk Sohn; Lu Jiang 004; Jarred Barber; Kimin Lee; Nataniel Ruiz; Dilip Krishnan; Huiwen Chang; Yuanzhen Li; Irfan Essa; Michael Rubinstein; Yuan Hao; Glenn Entis; et al. (NeurIPS, 2023)

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)

StraIT: Non-autoregressive Generation with Stratified Image Transformer. - Shengju Qian; Huiwen Chang; Yuanzhen Li; Zizhao Zhang; Jiaya Jia; Han Zhang 010 (CoRR, 2023)

Soundini: Sound-Guided Diffusion for Natural Video Editing. - Seung Hyun Lee; Sieun Kim; Innfarn Yoo; Feng Yang; Donghyeon Cho; Youngseo Kim; Huiwen Chang; Jinkyu Kim 001; Sangpil Kim (CoRR, 2023)

Learning Disentangled Prompts for Compositional Image Synthesis. - Kihyuk Sohn; Albert E. Shaw; Yuan Hao; Han Zhang 010; Luisa Polania; Huiwen Chang; Lu Jiang 004; Irfan Essa (CoRR, 2023)

StyleDrop: Text-to-Image Generation in Any Style. - Kihyuk Sohn; Nataniel Ruiz; Kimin Lee; Daniel Castro Chin; Irina Blok; Huiwen Chang; Jarred Barber; Lu Jiang 004; Glenn Entis; Yuanzhen Li; Yuan Hao; Irfan Essa; et al. (CoRR, 2023)

Improve Supervised Representation Learning with Masked Image Modeling. - Kaifeng Chen; Daniel Salz; Huiwen Chang; Kihyuk Sohn; Dilip Krishnan; Mojtaba Seyedhosseini (CoRR, 2023)

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. - Tianhong Li; Sangnie Bhardwaj; Yonglong Tian; Han Zhang 010; Jarred Barber; Dina Katabi; Guillaume Lajoie; Huiwen Chang; Dilip Krishnan (ICLR, 2024)

DVMark: A Deep Multiscale Framework for Video Watermarking. - Xiyang Luo; Yinxiao Li; Huiwen Chang; Ce Liu 001; Peyman Milanfar; Feng Yang 008 (IEEE Trans. Image Process., 2025)