Wei Xing

Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer AAAI 2026 MAPo: Motion-Aware Partitioning of Deformable 3D Gaussian Splatting for High-Fidelity Dynamic Scene Reconstruction CVPR 2026 Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution AAAI 2025 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos CVPR 2024 ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank AAAI 2024 Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024 Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024 Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024 PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping AAAI 2024 Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution CVPR 2024 Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model ECCV 2024 Single-Mask Inpainting for Voxel-based Neural Radiance Fields ECCV 2024 Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt IJCAI 2024 ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion NeurIPS 2023 Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning AAAI 2023 MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer AAAI 2023 Rethinking Fast Fourier Convolution in Image Inpainting ICCV 2023 Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling ICCV 2023 StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models ICCV 2023 TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning IJCAI 2023 VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs IJCAI 2023 DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer IJCAI 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 Physics Informed Deep Kernel Learning AISTATS 2022 Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer IJCAI 2022 Texture Reformer: Towards Fast and Universal Interactive Texture Transfer AAAI 2022 Artistic Style Transfer with Internal-external Learning and Contrastive Learning NeurIPS 2021 Diverse Image Style Transfer via Invertible Cross-Space Mapping ICCV 2021 DualAST: Dual Style-Learning Networks for Artistic Style Transfer CVPR 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Adversarial Learning for 3D Matching UAI 2020 Diversified Arbitrary Style Transfer via Deep Feature Perturbation CVPR 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Multi-Fidelity Bayesian Optimization via Deep Neural Networks NeurIPS 2020 Scalable Gaussian Process Regression Networks IJCAI 2020 UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation CVPR 2020 Scalable High-Order Gaussian Process Regression AISTATS 2019 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015