May 10, 2024, 4:45 a.m. | Fangzhou Han, Lingyu Si, Hongwei Dong, Lamei Zhang, Hao Chen, Bo Du

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.05769v1 Announce Type: new
Abstract: Artificial Intelligence Generative Content (AIGC) technologies have significantly influenced the remote sensing domain, particularly in the realm of image generation. However, remote sensing image editing, an equally vital research area, has not garnered sufficient attention. Different from text-guided editing in natural images, which relies on extensive text-image paired data for semantic correlation, the application scenarios of remote sensing image editing are often extreme, such as forest on fire, so it is difficult to obtain sufficient …

abstract aigc artificial artificial intelligence arxiv attention cs.cv domain editing generative however image image generation images intelligence natural realm research sensing technologies text type vital

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