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基于扩散模型的高分辨率图像生成算法优化研究

严瑞琦 戴佳璇 范舒怡

数码设计Issue(4):79-81,3.
数码设计Issue(4):79-81,3.

基于扩散模型的高分辨率图像生成算法优化研究

Optimization Study of High-resolution Image Feneration Algorithm Based on Diffusion Model

严瑞琦 1戴佳璇 2范舒怡3

作者信息

  • 1. 南京审计大学计算机学院 南京 211815
  • 2. 首都经济贸易大学统计学院 北京 100070
  • 3. 浙江农林大学环境与资源学院、碳中和学院 杭州 311300
  • 折叠

摘要

Abstract

With the development of digital technology,the demand for high-resolution images has increased significantly in fields such as medical imaging and satellite imagery.However,the image generation algorithms based on diffusion models have deficiencies.To address these issues,efforts are focused on optimizing these algorithms.Through methods such as innovative architecture design,optimized training strategies,and improved resource utilization efficiency,the quality of image generation has been enhanced.The optimized algorithms perform outstandingly in applications such as medical image reconstruction and satellite image generation.They can assist in accurate diagnosis,support urban planning,etc.,providing high-quality image generation solutions for multiple fields and promoting the development of related industries.

关键词

扩散模型/高分辨率图像生成/算法优化/图像质量提升/应用探索

Key words

diffusion model/high-resolution image generation/algorithm optimization/image quality improvement/application exploration

分类

信息技术与安全科学

引用本文复制引用

严瑞琦,戴佳璇,范舒怡..基于扩散模型的高分辨率图像生成算法优化研究[J].数码设计,2025,(4):79-81,3.

数码设计

1672-9129

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