Lei Zhao

Orcid: 0000-0003-4791-454X

Affiliations:
  • Zhejiang University, Department of Computer Science and Technology, Hangzhou, China


According to our database1, Lei Zhao authored at least 53 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
UATST: Towards unpaired arbitrary text-guided style transfer with cross-space modulation.
Comput. Vis. Image Underst., 2025

2024
Rethink arbitrary style transfer with transformer and contrastive learning.
Comput. Vis. Image Underst., 2024

Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning.
CoRR, 2024

PKD-Net: Distillation of prior knowledge for image completion by multi-level semantic attention.
Concurr. Comput. Pract. Exp., 2024

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

Single-Mask Inpainting for Voxel-Based Neural Radiance Fields.
Proceedings of the Computer Vision - ECCV 2024, 2024

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Caster: Cartoon style transfer via dynamic cartoon style casting.
Neurocomputing, November, 2023

MIGT: Multi-modal image inpainting guided with text.
Neurocomputing, 2023

Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache.
CoRR, 2023

Towards Interactive Facial Image Inpainting by Text or Exemplar Image.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

DuDoINet: Dual-Domain Implicit Network for Multi-Modality MR Image Arbitrary-scale Super-Resolution.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-Reference Image Super-Resolution via Pre-trained Diffusion Large Model and Window Adjustable Transformer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Fast Fourier Convolution in Image Inpainting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CRFAST: Clip-Based Reference-Guided Facial Image Semantic Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dual-constraint burst image denoising method.
Frontiers Inf. Technol. Electron. Eng., 2022

Gating PatternPyramid for diversified image style transfer.
J. Electronic Imaging, 2022

Dual distribution matching GAN.
Neurocomputing, 2022

AesUST: Towards Aesthetic-Enhanced Universal Style Transfer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Texture Reformer: Towards Fast and Universal Interactive Texture Transfer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Evaluate and improve the quality of neural style transfer.
Comput. Vis. Image Underst., 2021

Diversified text-to-image generation via deep mutual information estimation.
Comput. Vis. Image Underst., 2021

Diversified Patch-based Style Transfer with Shifted Style Normalization.
CoRR, 2021

Image Style Transfer Algorithm Based on Semantic Segmentation.
IEEE Access, 2021

Real-Time High Realistic Web Display Method of Complex 3D Model.
IEEE Access, 2021

Corrections to "Real-Time High Realistic Web Display Method of Complex 3D Model".
IEEE Access, 2021

Artistic Style Transfer with Internal-external Learning and Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Diverse Image Style Transfer via Invertible Cross-Space Mapping.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DualAST: Dual Style-Learning Networks for Artistic Style Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
GLStyleNet: exquisite style transfer combining global and local pyramid features.
IET Comput. Vis., 2020

Creative and diverse artwork generation using adversarial networks.
IET Comput. Vis., 2020

Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization.
CoRR, 2020

Style Permutation for Diversified Arbitrary Style Transfer.
IEEE Access, 2020

SpatialGAN: Progressive Image Generation Based on Spatial Recursive Adversarial Expansion.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Diversified Arbitrary Style Transfer via Deep Feature Perturbation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Optimal Transport of Deep Feature for Image Style Transfer.
Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019

2018
GLStyleNet: Higher Quality Style Transfer Combining Global and Local Pyramid Features.
CoRR, 2018

2006
Applying Natural Neighbor Coordinates for Electromagnetic Tracker Calibration.
Proceedings of the Computer and Information Sciences, 2006


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