Wei Xing
教师
Works on image generation and style transfer in the Institute of Artificial Intelligence, with last-author work on diffusion-based disentangled style transfer, multi-contrast MRI super-resolution and on-the-fly 3D Gaussian training for free-viewpoint video streaming.
Wei Xing's lab at Zhejiang works on image & video generation and 3D vision & neural rendering. 32 papers since 2023, 19 at top venues, mostly AAAI and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 2 · collecting
- 3 papers2025 · T1 1
- 11 papers2024 · T1 8
- 13 papers2023 · T1 8
T1 venuesOtherVenues: AAAI, CVPR, ICCV, IJCAI, Neurocomputing
Research focuspaper titles that use each topic's words
- Image & video generation14 papers
- style9 papers
- transfer9 papers
- style transfer8 papers
- 3D vision & neural rendering5 papers
Paper list
From DBLP.
20265 papers
- IEEE Trans. Vis. Comput. Graph.Fast and Robust Deformable 3D Gaussian Splatting (opens in a new tab)
- AAAI (T1)Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.IP-Controller: Decomposition and Optimization of Cross-Attention Maps for Accurate Subject-Driven Text-to-Image Diffusion Generation (opens in a new tab)
- CVPR (T1)MAPo: Motion-Aware Partitioning of Deformable 3D Gaussian Splatting for High-Fidelity Dynamic Scene Reconstruction (opens in a new tab)
- Knowl. Based Syst.Towards arbitrary-scale image super-resolution with prompting and diffusion prior (opens in a new tab)
20253 papers
- AAAI (T1)Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution (opens in a new tab)
- NeurocomputingLGAST: Towards high-quality arbitrary style transfer with local-global style learning (opens in a new tab)
- Eng. Appl. Artif. Intell.Personalized text-to-image generation with Large Language and Vision Assistant enhanced training (opens in a new tab)
202411 papers
- CVPR (T1)3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos (opens in a new tab)
- AAAI (T1)ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (opens in a new tab)
- AAAI (T1)Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation (opens in a new tab)
- Concurr. Comput. Pract. Exp.PKD-Net: Distillation of prior knowledge for image completion by multi-level semantic attention (opens in a new tab)
- AAAI (T1)PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping (opens in a new tab)
- Comput. Vis. Image Underst.Rethink arbitrary style transfer with transformer and contrastive learning (opens in a new tab)
- CVPR (T1)Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution (opens in a new tab)
- ECCV (T1)Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model (opens in a new tab)
- ECCV (T1)Single-Mask Inpainting for Voxel-Based Neural Radiance Fields (opens in a new tab)
- IEEE Multim.Specific Diverse Text-to-Image Synthesis via Exemplar Guidance (opens in a new tab)
- IJCAI (T1)Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt (opens in a new tab)
202313 papers
- NeurocomputingCaster: Cartoon style transfer via dynamic cartoon style casting (opens in a new tab)
- ICASSP (T1)CRFAST: Clip-Based Reference-Guided Facial Image Semantic Transfer (opens in a new tab)
- ACM MMDuDoINet: Dual-Domain Implicit Network for Multi-Modality MR Image Arbitrary-scale Super-Resolution (opens in a new tab)
- AAAI (T1)Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning (opens in a new tab)
- AAAI (T1)MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer (opens in a new tab)
- NeurocomputingMIGT: Multi-modal image inpainting guided with text (opens in a new tab)
- ICCV (T1)Rethinking Fast Fourier Convolution in Image Inpainting (opens in a new tab)
- ICCV (T1)Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling (opens in a new tab)
- ACM MMSelf-Reference Image Super-Resolution via Pre-trained Diffusion Large Model and Window Adjustable Transformer (opens in a new tab)
- ICCV (T1)StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models (opens in a new tab)
- IJCAI (T1)TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning (opens in a new tab)
- MMMTowards Interactive Facial Image Inpainting by Text or Exemplar Image (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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