Lei Zhao

Affiliations

Shanghai Jiao Tong University

papers

625

total citations

papers (21)

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

ICCV 2023arXiv

207

citations

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

CVPR 2024arXiv

143

citations

Diversified Arbitrary Style Transfer via Deep Feature Perturbation

CVPR 2020arXiv

104

citations

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

CVPR 2024arXiv

citations

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

AAAI 2024arXiv

citations

An Investigation Into the Stochasticity of Batch Whitening

CVPR 2020arXiv

citations

An Investigation into Whitening Loss for Self-supervised Learning

NEURIPS 2022arXiv

citations

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

ECCV 2024arXiv

citations

EA-KD: Entropy-based Adaptive Knowledge Distillation

ICCV 2025arXiv

citations

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

ICML 2024arXiv

citations

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

AAAI 2024arXiv

citations

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

CVPR 2025arXiv

citations

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

AAAI 2025

citations

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs

NEURIPS 2025arXiv

citations

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling

ICCV 2023

citations

DualAST: Dual Style-Learning Networks for Artistic Style Transfer

CVPR 2021

citations

Lei Zhao

Affiliations

papers (21)

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

Diversified Arbitrary Style Transfer via Deep Feature Perturbation

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

An Investigation Into the Stochasticity of Batch Whitening

An Investigation into Whitening Loss for Self-supervised Learning

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

EA-KD: Entropy-based Adaptive Knowledge Distillation

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs

UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation

Diverse Image Style Transfer via Invertible Cross-Space Mapping

Rethinking Fast Fourier Convolution in Image Inpainting

10491 Multi-Granularity Causal Structure Learning

Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling

DualAST: Dual Style-Learning Networks for Artistic Style Transfer

papers (21)

StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

Diversified Arbitrary Style Transfer via Deep Feature Perturbation

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

An Investigation Into the Stochasticity of Batch Whitening

An Investigation into Whitening Loss for Self-supervised Learning

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

EA-KD: Entropy-based Adaptive Knowledge Distillation

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs

UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation

Diverse Image Style Transfer via Invertible Cross-Space Mapping

Rethinking Fast Fourier Convolution in Image Inpainting

10491 Multi-Granularity Causal Structure Learning

Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling

DualAST: Dual Style-Learning Networks for Artistic Style Transfer