WebRank-based Learning with deep neural network has been widely used for image cropping. However, the performance of ranking-based methods is often poor and this is mainly … Web13 nov. 2024 · The main contributions of this paper can be summarized as follows: 1) We propose a novel partition-aware feature to improve human-centric image cropping by exploiting human information, which allows to treat different regions in a candidate crop differently conditioned on the human information.

GitHub - luwr1022/listwise-view-ranking

WebImage composition recommendation aims to find the most aesthetically valuable crop in an image, which can assist the photographer to take beautiful, elegant, and coordinated photos. However, most of the previous methods based on neural network do not generate the composition boxes directly because it is difficult to accurately and completely mark all … WebFor content-preserving feature, we predict a heatmap indicating the important content to be included in a good crop, and extract the geometric relation between the heatmap and a … high waisted denim cuffed shorts

Saliency aware image cropping with latent region pair

WebAbstract As one of the fundamental problems for image enhancing editing, image cropping seeks the best crop with high aesthetic quality and removes extraneous areas. ... Lu et … WebBy integrating refined sampling and listwise ranking, the proposed network called the listwise view ranking network (LVRN) achieves the state-of-the-art performance both in accuracy … how many feet above sea level is buffalo ny