Image Cropping

25 papers with code • 1 benchmarks • 3 datasets

Image Cropping is a common photo manipulation process, which improves the overall composition by removing unwanted regions. Image Cropping is widely used in photographic, film processing, graphic design, and printing businesses.

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Use these libraries to find Image Cropping models and implementations
2 papers

Most implemented papers

See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification

wvinzh/WS_DAN_PyTorch 26 Jan 2019

Specifically, for each training image, we first generate attention maps to represent the object's discriminative parts by weakly supervised learning.

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

kornia/kornia 5 Oct 2019

This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping

wuhuikai/TF-A2RL CVPR 2018

Image cropping aims at improving the aesthetic quality of images by adjusting their composition.

Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

twitter-research/image-crop-analysis 18 May 2021

However, we demonstrate that formalized fairness metrics and quantitative analysis on their own are insufficient for capturing the risk of representational harm in automatic cropping.

An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos

CVBase-Bupt/EndtoEndCroppingSystem 2 Jul 2019

In this paper, we primarily focus on improving the accuracy of automatic image cropping, and on further exploring its potential in public datasets with high efficiency.

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

ggsDing/WiCoNet 29 Jun 2021

To overcome this limitation, we propose a Wide-Context Network (WiCoNet) for the semantic segmentation of HR RSIs.

Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study

yiling-chen/flickr-cropping-dataset 5 Jan 2017

Automatic photo cropping is an important tool for improving visual quality of digital photos without resorting to tedious manual selection.

Learning to Compose with Professional Photographs on the Web

yiling-chen/view-finding-network 1 Feb 2017

Photo composition is an important factor affecting the aesthetics in photography.

Aesthetic-Driven Image Enhancement by Adversarial Learning

dannysdeng/EnhanceGAN 17 Jul 2017

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement.

Mask Editor : an Image Annotation Tool for Image Segmentation Tasks

Chuanhai/Mask-Editor 17 Sep 2018

Mask Editor allows drawing any bounding curve to mark objects and improves efficiency to mark objects with irregular shapes.