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Feature Manipulation for DDPM based Change Detection
March 26, 2024, 4:46 a.m. | Zhenglin Li, Yangchen Huang, Mengran Zhu, Jingyu Zhang, JingHao Chang, Houze Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Change Detection is a classic task of computer vision that receives a bi-temporal image pair as input and separates the semantically changed and unchanged regions of it. The diffusion model is used in image synthesis and as a feature extractor and has been applied to various downstream tasks. Using this, a feature map is extracted from the pre-trained diffusion model from the large-scale data set, and changes are detected through the additional network. On the …
abstract arxiv change computer computer vision cs.cv ddpm detection diffusion diffusion model feature image manipulation synthesis tasks temporal type vision
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