Haitian Zheng

Research Scientist 2

San Jose

Haitian has been a researcher at Adobe Research since 2023. He received his Ph.D. degree in computer science from the University of Rochester in 2023, advised by Prof. Jiebo Luo. Prior to that, he obtained his M.S. degree in electronics and communication engineering from the University of Science and Technology of China in 2016, advised by Prof. Lu Fang.

His research interests include computer vision, computer graphics, and generative models, with a focus on image generation, editing, enhancement, and restoration for computer-aided digital art creation. His contact email is “hazheng AT adobe.com”, and more information about his publications and profile can be found at: DBLP, Google Scholar, and LinkedIn. For more information, please visit his personal website.

Publications

HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation

Wang, Xiang., Zhang, Zhifei., Zhang, He., Lin, Zhe., Zhou, Yuqian., Liu, Qing., Zhang, Shiwei., Li, Yijun., Liu, Shaoteng., Zheng, Haitian., Kuen, Jason., Wang, Yuehuan., Gao, Changxin., Sang, Nong. (Jun. 3, 2026)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

RealUHR: Harnessing Patch-Cascade Flows for Photorealistic Ultra-High-Resolution Synthesis

Yu, Yongsheng., Zheng, Haitian., Lin, Zhe., Barnes, Connelly., Zhou, Yuqian., Zhang, Zhifei., Luo, Jiebo. (Mar. 14, 2026)

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026)

PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement

Zheng, Haitian., Yao, Yuan., Yu, Yongsheng., Zhou, Yuqian., Luo, Jiebo., Lin, Zhe. (Dec. 2, 2025)

Advances in Neural Information Processing Systems (NeurIPS 2025)

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization

Ding, Zihan., Jin, Chi., Liu, Difan., Zheng, Haitian., Singh, Krishna., Zhang, Qiang., Kang, Yan., Lin, Zhe., Liu, Yuchen. (Oct. 19, 2025)

ICCV 2025

MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis

Wang, Tianyu., Zhang, Jianming., Zheng, Haitian., Ding, Zhihong., Cohen, Scott., Lin, Zhe., Xiong, Wei., Fu, Chi-Wing., Figueroa, Luis., Kim, Soo. (Jun. 15, 2025)

Conference on Computer Vision and Pattern Recognition (CVPR 2025)

TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting

Xie, Liangbin., Pakhomov, Daniil., Wang, Zhonghao., Wu, Zongze., Chen, Ziyan., Zhou, Yuqian., Zheng, Haitian., Zhang, Zhifei., Lin, Zhe., Zhou, Jiantao., Dong, Chao. (Jun. 13, 2025)

Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators

Zheng, Haitian., Lin, Zhe., Lu, Jingwan., Cohen, Scott., Shechtman, Eli., Barnes, Connelly., Zhang, Jianming., Liu, Qing., Amirghodsi, Sohrab., Zhou, Yuqian., Luo, Jiebo. (Dec. 1, 2024)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)

Object-level Scene Deocclusion

Liu, Zhengzhe., Liu, Qing., Chang, Chirui., Zhang, Jianming., Pakhomov, Daniil., Zheng, Haitian., Lin, Zhe., Cohen-Or, Daniel., Fu, Chi-Wing. (Jul. 28, 2024)

SIGGRAPH 2024

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Zheng, Haitian., Lin, Zhe., Lu, Jingwan., Cohen, Scott., Shechtman, Eli., Barnes, Connelly., Zhang, Jianming., Xu, Ning., Amirghodsi, Sohrab., Luo, Jiebo. (Oct. 23, 2022)

European Conference on Computer Vision (ECCV'22)

Semantic Layout Manipulation with High-Resolution Sparse Attention

Zheng, Haitian., Lin, Zhe., Lu, Jingwan., Cohen, Scott., Zhang, Jianming., Xu, Ning., Luo, Jiebo. (Apr. 15, 2022)

TPAMI 2022