Liu, Xing

20 publications

NeurIPS 2025 HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance Jue Gong, Tingyu Yang, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang, Xiaokang Yang

ICML 2025 Human Body Restoration with One-Step Diffusion Model and a New Benchmark Jue Gong, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang, Xiaokang Yang

CVPR 2025 OSDFace: One-Step Diffusion Model for Face Restoration Jingkai Wang, Jue Gong, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu, Yulun Zhang, Xiaokang Yang

JMLR 2025 On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu, François-Xavier Briol

CVPR 2025 TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer Jialun Liu, Jinbo Wu, Xiaobo Gao, Jiakui Hu, Bojun Xiong, Xing Liu, Chen Zhao, Hongbin Pei, Haocheng Feng, Yingying Li, Errui Ding, Jingdong Wang

CVPR 2025 TexGaussian: Generating High-Quality PBR Material via Octree-Based 3D Gaussian Splatting Bojun Xiong, Jialun Liu, Jiakui Hu, Chenming Wu, Jinbo Wu, Xing Liu, Chen Zhao, Errui Ding, Zhouhui Lian

ICML 2024 Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, Yinghai Lu, Yu Shi

WACV 2024 HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation Jinbo Wu, Xiaobo Gao, Xing Liu, Zhengyang Shen, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding

CVPR 2024 TexOct: Generating Textures of 3D Models with Octree-Based Diffusion Jialun Liu, Chenming Wu, Xinqi Liu, Xing Liu, Jinbo Wu, Haotian Peng, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding

COLT 2023 A High-Dimensional Convergence Theorem for U-Statistics with Applications to Kernel-Based Testing Kevin H. Huang, Xing Liu, Andrew Duncan, Axel Gandy

ICML 2023 Using Perturbation to Improve Goodness-of-Fit Tests Based on Kernelized Stein Discrepancy Xing Liu, Andrew B. Duncan, Axel Gandy

AISTATS 2022 Grassmann Stein Variational Gradient Descent Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew Duncan

NeurIPSW 2022 Using Perturbation to Improve Goodness-of-Fit Tests Based on Kernelized Stein Discrepancy Xing Liu, Andrew Duncan, Axel Gandy

ICCVW 2021 3D High-Fidelity Mask Face Presentation Attack Detection Challenge Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo

NeurIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-Scale Dynamic Pickup and Delivery Problems Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

ICCV 2021 Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani

NeurIPS 2020 Bayesian Probabilistic Numerical Integration with Tree-Based Models Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth Flaxman, Francois-Xavier Briol

CVPRW 2020 Removal of Image Obstacles for Vehicle-Mounted Surrounding Monitoring Cameras by Real-Time Video Inpainting Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Xing Liu, Yukimasa Tamatsu, Takayuki Okatani

CVPRW 2020 Unsupervised Image Super-Resolution with an Indirect Supervised Path Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian

WACVW 2017 A Phase Field Variational Model with Arctangent Regularization for Saliency Detection Meng Li, Xing Liu, Liming Tang