Huiwen Chang

According to our database, Huiwen Chang authored at least 39 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan

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, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan

CoRR, 2023

Learning Disentangled Prompts for Compositional Image Synthesis.

Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa

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, Sangpil Kim

CoRR, 2023

StraIT: Non-autoregressive Generation with Stratified Image Transformer.

Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang

CoRR, 2023

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners.

Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Muse: Text-To-Image Generation via Masked Generative Transformers.

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

Proceedings of the International Conference on Machine Learning, 2023

Discrete Predictor-Corrector Diffusion Models for Image Synthesis.

José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa

Proceedings of the Eleventh International Conference on Learning Representations, 2023

VQ3D: Learning a 3D-Aware Generative Model on ImageNet.

Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MAGVIT: Masked Generative Video Transformer.

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Prompt Tuning for Generative Transfer Learning.

Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.

Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations.

Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan

CoRR, 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

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

ViTGAN: Training GANs with Vision Transformers.

Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved Masked Image Generation with Token-Critic.

José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

Proceedings of the Computer Vision - ECCV 2022, 2022

BLT: Bidirectional Layout Transformer for Controllable Layout Generation.

Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa

Proceedings of the Computer Vision - ECCV 2022, 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, Peyman Milanfar, Feng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zoom-to-Inpaint: Image Inpainting with High-Frequency Details.

Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Pyramid Adversarial Training Improves ViT Performance.

Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MaskGIT: Masked Generative Image Transformer.

Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DVMark: A Deep Multiscale Framework for Video Watermarking.

Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, Feng Yang

CoRR, 2021

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting.

Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

OCONet: Image Extrapolation by Object Completion.

Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Distortion Agnostic Deep Watermarking.

Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

SwapNet: Image Based Garment Transfer.

Amit Raj, Patsorn Sangkloy, Huiwen Chang, James Hays, Duygu Ceylan, Jingwan Lu

Proceedings of the Computer Vision - ECCV 2018, 2018

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup.

Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Panning and Zooming High-Resolution Panoramas in Virtual Reality Devices.

Huiwen Chang, Michael F. Cohen

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

2016

Automatic triage for a photo series.

Huiwen Chang, Fisher Yu, Jue Wang, Douglas Ashley, Adam Finkelstein

ACM Trans. Graph., 2016

2015

Palette-based photo recoloring.

Huiwen Chang, Ohad Fried, Yiming Liu, Stephen DiVerdi, Adam Finkelstein

ACM Trans. Graph., 2015

2013

Rectangling panoramic images via warping.

Kaiming He, Huiwen Chang, Jian Sun

ACM Trans. Graph., 2013

Content-Aware Rotation.

Kaiming He, Huiwen Chang, Jian Sun

Proceedings of the IEEE International Conference on Computer Vision, 2013

Cross Segment Decoding for Improved Quality of Experience for Video Applications.

Jiangtao Wen, Shunyao Li, Yao Lu, Meiyuan Fang, Xuan Dong, Huiwen Chang, Pin Tao

Proceedings of the 2013 Data Compression Conference, 2013