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FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
Lin Zhao*, Tianchen Zhao*, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
Computer Vision and Pattern Recognition (CVPR), 2024
We propose FlashEval, which can identify a representative subset to speed up the evaluation of text-to-image Diffusion models (10x). [project] [code] [paper]
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THInImg: Cross-modal Steganography for Presenting Talking Heads in Images
Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang
Winter Conference on Applications of Computer Vision (WACV), 2024
We propose THInImg, which can present up to 80 seconds of high quality talking-head video (including audio) in an identity image with 160×160 resolution. [paper]
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Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning
Lin Zhao*, Shaoping Lu*, Tao Chen, Zhenglu Yang, Ariel Shamir
International Conference on Computer Vision (ICCV), 2021
We propose an invertible framework to solve both underexposed image enhancement and low-light image enhancement problems in a unified structure. [project] [code] [paper]
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Research Assistant, NICS-EFC group, Tsinghua University
Jul 2023 - Dec 2023, Beijing, China
Worked on Machine Learning Algorithm
Professor: Prof. Yu Wang and Prof. Xuefei Ning
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Research Intern, Media Computing Group, Microsoft Research Asia
Jul 2022 - Dec 2022, Beijing, China
Worked on Talking-head Generation and Video Compression
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Research Intern, Multimodal Group, Sensetime
Mar 2022 - May 2022, Beijing, China
Worked on Video Editing
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Selected Honors & Awards
Gongneng Scholarship. 2021
Graduate Student Scholarship. 2020
Comprehensive First-class Scholarship (Top 5%). 2018, 2019
Honorable Mention, Mathematical Contest in Modeling. 2019
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Misc
I was born and raised in Harbin, China.
I enjoy running, cooking and singing.
I especially love little monkeys; they are just too adorable!
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