Image Retargeting

6 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting

linchuming/WSSDCNN ICCV 2017

Our method implicitly learns an attention map, which leads to a content-aware shift map for image retargeting.

Cycle-IR: Deep Cyclic Image Retargeting

mintanwei/Cycle-IR 9 May 2019

Our idea is built on the reverse mapping from the retargeted images to the given input images.

Self-Play Reinforcement Learning for Fast Image Retargeting

nobukatsu-kajiura/Self-Play-RL 2 Oct 2020

In this study, we address image retargeting, which is a task that adjusts input images to arbitrary sizes.

OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment

givkashi/oair 11 Sep 2022

The PSO algorithm uses aesthetic quality assessment as its objective function to identify the best location and size for the objects to be placed in the background.

Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions

givkashi/cair 12 Jun 2023

In our approach, a mask is generated to show the desired size and location of the object.

Prune and Repaint: Content-Aware Image Retargeting for any Ratio

fhshen2022/prunerepaint 30 Oct 2024

By focusing on the content and structure of the foreground, our PruneRepaint approach adaptively avoids key content loss and deformation, while effectively mitigating artifacts with local repainting.