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I am a second-year Master's student at the School of Computer Science, Shanghai Jiao Tong University (SJTU), supervised by Prof. Yulun Zhang and Prof. Yutong Liu. Prior to that, I received my B.Sc. and B.Mgt. degrees from Zhejiang University (ZJU) in 2023.
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[2025.05] HonestFace, a reference-based one-step diffusion model for identity-consistent face restoration, is released. |
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*: Equal Contribution, †: Corresponding Author |
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Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang†, et al. New Trends in Image Restoration and Enhancement Workshop and Challenges (NTIRE, CVPR Workshop), 2025 paper / project page / code The challenge aims to generate natural, identity-consistent faces from degraded inputs, with 141 registrants, 13 teams submitting valid models, and 10 teams achieving valid final scores. |
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Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang†, et al. New Trends in Image Restoration and Enhancement Workshop and Challenges (NTIRE, CVPR Workshop), 2025 paper / project page / code The challenge aims to restore high-resolution images from bicubic x4 downsampled low-resolution inputs, attracting 286 participants and resulting in 25 valid team submissions. |
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Jue Gong*, Jingkai Wang*, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang†, and Xiaokang Yang International Conference on Machine Learning (ICML), 2025 paper / code Developed a high-quality human body restoration dataset, PERSONA, using an automated cropping and filtering pipeline HQ-ACF. Introduced OSDHuman, a one-step diffusion model for human body restoration, which significantly outperforms existing methods in both visual quality and metrics. Contributed to the advancement of image restoration by creating a dataset that exceeds other human-related datasets in both quality and content richness. |
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Jingkai Wang*, Jue Gong*, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu†, Yulun Zhang†, and Xiaokang Yang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 paper / project page / code We present OSDFace, a novel one-step diffusion model for face restoration. By combining a VQ-style visual embedder, GAN discriminator, and identity loss, it effectively captures prior information. OSDFace delivers SOTA results in both qualitative and quantitative evaluations, producing high-fidelity, natural face images with strong identity consistency. |
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Haoran Sun, Jingkai Wang, Hujun Bao, Jin Huang† ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024 paper / code Proposed a differentiable winding number framework via Gaussian kernel convolution, enabling robust inside/outside queries for an even possibly intersected 2D polygon. The differentiable formulation supports applications including intersection resolution, feature-aware curve editing with in-out brushes, and topology-preserving shape offsetting. |
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[2022.10] Leading Scholarship of Chu Ko Chen Honors College |
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