Image Retargeting
6 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Image Retargeting
Most implemented papers
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
linchuming/WSSDCNN
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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
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
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
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
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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
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.
