Yuxin Zhang

papers

575

total citations

papers (14)

Inversion-Based Style Transfer With Diffusion Models

CVPR 2023arXiv

404

citations

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

ICLR 2025arXiv

102

citations

Music Style Transfer with Time-Varying Inversion of Diffusion Models

AAAI 2024arXiv

citations

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning

AAAI 2025arXiv

citations

SMMix: Self-Motivated Image Mixing for Vision Transformers

ICCV 2023arXiv

citations

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

CVPR 2024arXiv

citations

Learning Image Demoireing from Unpaired Real Data

AAAI 2024arXiv

citations

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

ICML 2025arXiv

citations

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

ICML 2025arXiv

citations

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers

ICCV 2025arXiv

citations

Yuxin Zhang

papers (14)

Inversion-Based Style Transfer With Diffusion Models

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Music Style Transfer with Time-Varying Inversion of Diffusion Models

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning

SMMix: Self-Motivated Image Mixing for Vision Transformers

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

Learning Image Demoireing from Unpaired Real Data

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

UniPTS: A Unified Framework for Proficient Post-Training Sparsity

CaM: Cache Merging for Memory-efficient LLMs Inference

Learning Best Combination for Efficient N:M Sparsity

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers

papers (14)

Inversion-Based Style Transfer With Diffusion Models

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Music Style Transfer with Time-Varying Inversion of Diffusion Models

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning

SMMix: Self-Motivated Image Mixing for Vision Transformers

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

Learning Image Demoireing from Unpaired Real Data

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

UniPTS: A Unified Framework for Proficient Post-Training Sparsity

CaM: Cache Merging for Memory-efficient LLMs Inference

Learning Best Combination for Efficient N:M Sparsity

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers