Qingyan Bai
Hi! I am a third-year PhD student in Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Qifeng Chen.
I received my master's degree at Tsinghua University in IIGroup, supervised by Prof. Yujiu Yang.
My research interests include generative models and agents.
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Research (* indicates equal contribution) |
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Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
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Preprint 2025  
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Edicho: Consistent Image Editing in the Wild
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ICCV 2025  
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Real-time 3D-aware Portrait Editing from a Single Image
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ECCV 2024  
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CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
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CVPR 2024 (Highlight Paper)  
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GLeaD: Improving GANs with A Generator-Leading Task
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CVPR 2023  
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Revisiting the Evaluation of Image Synthesis with GANs
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NeurIPS 2023 (D&B)  
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High-fidelity GAN Inversion with Padding Space
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ECCV 2022  
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One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
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ECCV 2022  
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Region-adaptive Deformable Network for Image Quality Assessment
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CVPR 2021 NTIRE Workshop  
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Experiences |
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Research Intern, AntGroup
Research Intern in Generative Models
Jul. 2022 - now
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Research Intern, Bytedance
Research Intern in Generative Models
Sep. 2021 - Apr. 2022
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Selected Awards
- Academic Excellence Award, HKUST
- Outstanding Graduate of Beijing
- First-Class Scholarship for Outstanding Students, Tsinghua University
- National Scholarship, Twice (2017 & 2018)
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Professional Activities
- Reviewer for CVPR, ECCV, ICCV, ICLR, NeurIPS
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Thank Dr. Jon Barron for sharing the source code of his personal page.
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