Yongsheng Yu

I am a Ph.D. Candidate at the University of Rochester, working with Jiebo Luo on computer vision and machine learning. My research focuses on visual generation and editing, bridging the gap between human creativity and computational intelligence.

News

Experience

Publications

OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting

Yongsheng Yu*, Ziyun Zeng*, Haitian Zheng, Jiebo Luo

ICCV, 2025

Project PDF Code

ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration

Yongsheng Yu, Haitian Zheng, Zhifei Zhang, Jianming Zhang, Yuqian Zhou, Connelly Barnes, Yuchen Liu, Wei Xiong, Zhe Lin, Jiebo Luo

In submission, 2025

PDF

PromptFix: You Prompt and We Fix the Photo

Yongsheng Yu*, Ziyun Zeng*, Hang Hua, Jianlong Fu, Jiebo Luo

NeurIPS, 2024

Project PDF Code Dataset

MaGIC: Multi-modality Guided Image Completion

Hao Wang*, Yongsheng Yu*, Tiejian Luo, Heng Fan, Libo Zhang

ICLR, 2024

PDF Website Code

Deficiency-Aware Masked Transformer for Video Inpainting

Yongsheng Yu, Heng Fan, Libo Zhang, Jiebo Luo

In Submission, 2023

PDF Code

Chain-of-Thought Prompting for Demographic Inference with Large Multimodal Models

Yongsheng Yu, Jiebo Luo

ICME (Oral), 2024

PDF

Unbiased Multi-Modality Guidance for Image Inpainting

Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo

ECCV, 2022

PDF Code

High-Fidelity Image Inpainting with GAN Inversion

Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo

ECCV, 2022

PDF

Services

Conference Reviewer:

• 2025: CVPR, ICCV, ICLR, MM, NeurIPS
• 2024: CVPR, ECCV, ICML, ICLR, ICME, MM, NeurIPS, WACV
• 2023: CVPR, ICCV, NeurIPS, WACV

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