← Authors

Wei Xing

37 papers · 2015–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) πŸ† Keyword Champion 🀝 Dynamic Duo (24) πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (166)

Conferences

AAAI (9) IJCAI (6) AISTATS (5) CVPR (5) NIPS (5) ICCV (4) ECCV (2) UAI (1)

Top co-authors

lei zhao (25) Zhizhong Wang (14) Dongming Lu (12) Haibo Chen (11) Zhiwen Zuo (11) Jiakai Sun (9) Guangyuan Li (8) Shandian Zhe (8) Jiafu Chen (8) Zhanjie Zhang (8)

Keywords

image generation (11) gaussian process (6) neural style transfer (5) artistic style transfer (5) variational inference (5) diffusion model (4) image inpainting (4) generative model (3) style transfer (3) arbitrary style transfer (3) image editing (3) view synthesis (3) generative adversarial network (3) contrastive learning (2) acquisition function (2) multi-output regression (2) adversarial learning (2) magnetic resonance imaging (2) tensor decomposition (2) conditional generation (2)

Papers

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