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title
Deep Saliency Prior
description
Deep Saliency Prior
image
site name
author
updated
2026-02-26 22:35:58
raw text
Deep Saliency Prior Deep Saliency Prior for Reducing Visual Distraction CVPR 2022 Kfir Aberman * Junfeng He * Yossi Gandelsman Inbar Mossari David E. Jacobs Kai Kohlhoff Yael Pritch Michael Rubinstein Google Research Given an input image and a region(s) to edit, our method back-propagates through a visual saliency prediction model to solve for an image such that the saliency level in the region of interest is modified. We explore a set of differentiable operators, the parameters of which are all guided by the saliency model, resulting in a variety of effects such as (a) camouflaging (b) semantic editing (c) inpainting, and (d) color harmonization. Paper Supplementary Material Eye-Gaze Study Using only a model that was trained to predict where people look at images, and no additional training data, we can produce a range of powerful editing effects for reducing distraction in images. Given an image and a mask specifying the region to edit, we backpropagat...
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8 - research.google
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