WebThis paper proposes a novel deep cyclic image retargeting approach, called Cycle-IR, to firstly implement image Retargeting with a single deep model, without relying on any explicit user annotations, built on the reverse mapping from the retargeted images to the given images. Expand WebNov 17, 2024 · Tan et al. developed a deep image retargeting network (IRNET), through which a pair of resized images with different sizes are generated from the original one, and then it is used to map the original image reversely by using a loss measure of cyclic perception consistency. This cyclic constraint mechanism can construct a stable image ...

Image Retargeting Papers With Code

WebDeep Cyclic Image Retargeting (Cycle-IR) [72] can solve the problem of image retargeting through unsupervised learning. An image retargeting model (IRNet) was proposed to implement Cycle-IR. A pair of retargeted images are created to perform reverse mapping on the input image. WebIn this paper, we propose a novel deep cyclic image retargeting approach, called Cycle-IR, to firstly implement image retargeting with a single deep model, without relying on … gunga the east india boy

Deep Image Harmonization by Bridging the Reality Gap DeepAI

WebJul 23, 2024 · Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent IR methods based on Generative … WebSep 14, 2024 · This paper proposes a luminance attentive network named LANet for HDR reconstruction from a single LDR image. Our method is based on two fundamental … WebThis is a Tensorflow implementation of Cycle-IR approach for content-aware image retargeting. - Cycle-IR/README.md at master · mintanwei/Cycle-IR gungarlin river fishing