Xing, Wei

36 publications

AAAI 2025 Cascaded Diffusion Models for Virtual Try-on: Improving Control and Resolution Guangyuan Li, Yongkang Wang, Junsheng Luan, Lei Zhao, Wei Xing, Huaizhong Lin, Binkai Ou

CVPR 2024 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing

AAAI 2024 ArtBank: Artistic Style Transfer with Pre-Trained Diffusion Model and Implicit Style Prompt Bank Zhanjie Zhang, Quanwei Zhang, Wei Xing, Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, Huaizhong Lin

AAAI 2024 Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation Tianyi Chu, Wei Xing, Jiafu Chen, Zhizhong Wang, Jiakai Sun, Lei Zhao, Haibo Chen, Huaizhong Lin

AISTATS 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels Da Long, Wei Xing, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael W. Mahoney

AISTATS 2024 Multi-Resolution Active Learning of Fourier Neural Operators Shibo Li, Xin Yu, Wei Xing, Robert Kirby, Akil Narayan, Shandian Zhe

AAAI 2024 PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping Jiafu Chen, Wei Xing, Jiakai Sun, Tianyi Chu, Yiling Huang, Boyan Ji, Lei Zhao, Huaizhong Lin, Haibo Chen, Zhizhong Wang

CVPR 2024 Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution Guangyuan Li, Chen Rao, Juncheng Mo, Zhanjie Zhang, Wei Xing, Lei Zhao

ECCV 2024 Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model Chen Rao, Guangyuan Li, Zehua Lan, Jiakai Sun, Junsheng Luan, Wei Xing, Lei Zhao, Huaizhong Lin, Jianfeng Dong, Dalong Zhang

ECCV 2024 Single-Mask Inpainting for Voxel-Based Neural Radiance Fields Jiafu Chen, Tianyi Chu, Jiakai Sun, Wei Xing, Lei Zhao

IJCAI 2024 Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-Aware and Layer-Aware Prompt Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen

NeurIPS 2023 ContinuAR: Continuous Autoregression for Infinite-Fidelity Fusion Wei Xing, Yuxin Wang, Zheng Xing

AAAI 2023 Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu

AAAI 2023 MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer Zhizhong Wang, Lei Zhao, Zhiwen Zuo, Ailin Li, Haibo Chen, Wei Xing, Dongming Lu

ICCV 2023 Rethinking Fast Fourier Convolution in Image Inpainting Tianyi Chu, Jiafu Chen, Jiakai Sun, Shuobin Lian, Zhizhong Wang, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu

ICCV 2023 Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Zhanjie Zhang, Jiafu Chen, Zhijie Lin, Huaizhong Lin, Wei Xing

ICCV 2023 StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Zhizhong Wang, Lei Zhao, Wei Xing

IJCAI 2023 TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning Jiafu Chen, Boyan Ji, Zhanjie Zhang, Tianyi Chu, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu

IJCAI 2023 VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing

AISTATS 2022 Physics Informed Deep Kernel Learning Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe

IJCAI 2022 DivSwapper: Towards Diversified Patch-Based Arbitrary Style Transfer Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu

NeurIPS 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion Yuxin Wang, Zheng Xing, Wei Xing

IJCAI 2022 Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer Zhiwen Zuo, Lei Zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang, Ailin Li, Wei Xing, Dongming Lu

AAAI 2022 Texture Reformer: Towards Fast and Universal Interactive Texture Transfer Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu

AISTATS 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe

NeurIPS 2021 Artistic Style Transfer with Internal-External Learning and Contrastive Learning Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu

ICCV 2021 Diverse Image Style Transfer via Invertible Cross-Space Mapping Haibo Chen, Lei Zhao, Huiming Zhang, Zhizhong Wang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu

CVPR 2021 DualAST: Dual Style-Learning Networks for Artistic Style Transfer Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu

UAI 2020 Adversarial Learning for 3D Matching Wei Xing, Brian Ziebart

ICLR 2020 Cascade Style Transfer Zhizhong Wang, Lei Zhao, Qihang Mo, Sihuan Lin, Zhiwen Zuo, Wei Xing, Dongming Lu

ICLR 2020 LDMGAN: Reducing Mode Collapse in GANs with Latent Distribution Matching Zhiwen Zuo, Lei Zhao, Huiming Zhang, Qihang Mo, Haibo Chen, Zhizhong Wang, AiLin Li, Lihong Qiu, Wei Xing, Dongming Lu

NeurIPS 2020 Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li, Wei Xing, Robert Kirby, Shandian Zhe

AISTATS 2019 Scalable High-Order Gaussian Process Regression Shandian Zhe, Wei Xing, Robert M. Kirby

AAAI 2018 ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification Sima Behpour, Wei Xing, Brian D. Ziebart

UAI 2015 Adversarial Cost-Sensitive Classification Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart

NeurIPS 2015 Adversarial Prediction Games for Multivariate Losses Hong Wang, Wei Xing, Kaiser Asif, Brian Ziebart