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Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
April 16, 2024, 4:47 a.m. | Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang
cs.CV updates on arXiv.org arxiv.org
Abstract: As a newly emerging advance in deep generative models, diffusion models have achieved state-of-the-art results in many fields, including computer vision, natural language processing, and molecule design. The remote sensing community has also noticed the powerful ability of diffusion models and quickly applied them to a variety of tasks for image processing. Given the rapid increase in research on diffusion models in the field of remote sensing, it is necessary to conduct a comprehensive review …
abstract advance art arxiv community computer computer vision cs.cv deep generative models design diffusion diffusion models fields generative generative models language language processing natural natural language natural language processing perspectives processing results sensing state them type vision
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