Self-supervised Photographic Image Layout Representation Learning

arXiv:2403.03740v1 Announce Type: new
Abstract: In the domain of image layout representation learning, the critical process of translating image layouts into succinct vector forms is increasingly significant across diverse applications, such as image retrieval, manipulation, and generation. Most approaches in this area heavily rely on costly labeled datasets and notably lack in adapting their modeling and learning methods to the specific nuances of photographic image layouts. This shortfall makes the learning process for photographic image layouts suboptimal. In our research, …

abstract applications arxiv cs.cv cs.mm datasets diverse diverse applications domain forms image manipulation process representation representation learning retrieval type vector