conftrace_
← Authors

Wei Xing

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

Achievements

Jump to papers ↓
+12 more ↓ 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (10)
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) variational inference (5) artistic style transfer (5) neural style transfer (5) diffusion model (4) image inpainting (4) generative model (3) image editing (3) view synthesis (3) style transfer (3) generative adversarial network (3) arbitrary style transfer (3) contrastive learning (2) acquisition function (2) multi-output regression (2) adversarial learning (2) gaussian process regression (2) magnetic resonance imaging (2) tensor decomposition (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