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Junjun Jiang

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A Comprehensive Survey on 3D Content Generation

Feb 02, 2024
Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu

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Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression

Jan 25, 2024
Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu

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Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning

Jan 12, 2024
Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji

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HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models

Jan 11, 2024
Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun

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Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach

Jan 11, 2024
Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu

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On the Dynamics Under the Unhinged Loss and Beyond

Dec 13, 2023
Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji

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SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

Nov 09, 2023
Meiling Fang, Marco Huber, Julian Fierrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan Tapia, Lazaro Gonzalez-Soler, Carlos Aravena, Daniel Schulz

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Dynamic Association Learning of Self-Attention and Convolution in Image Restoration

Nov 09, 2023
Kui Jiang, Xuemei Jia, Wenxin Huang, Wenbin Wang, Zheng Wang, Junjun Jiang

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Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Sep 12, 2023
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu

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Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution

Jul 30, 2023
Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu

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