Image Cropping

35 papers with code • 1 benchmarks • 4 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.

Source: Listwise View Ranking for Image Cropping

Libraries

Use these libraries to find Image Cropping models and implementations
2 papers
9,422

Latest papers with no code

An Experience-based Direct Generation approach to Automatic Image Cropping

no code yet • 30 Dec 2022

Prior approaches for automatic image cropping, did not enforce the aspect ratio of the outputs, likely due to a lack of datasets for this task.

ClipCrop: Conditioned Cropping Driven by Vision-Language Model

no code yet • 21 Nov 2022

Image cropping has progressed tremendously under the data-driven paradigm.

Image Protection for Robust Cropping Localization and Recovery

no code yet • 6 Jun 2022

Existing image cropping detection schemes ignore that recovering the cropped-out contents can unveil the purpose of the behaved cropping attack.

Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset

no code yet • IJCRT 2022

This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset.

Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping

no code yet • 7 Jan 2022

We propose a novel optimization framework that crops a given image based on user description and aesthetics.

Rethinking Image Cropping: Exploring Diverse Compositions From Global Views

no code yet • CVPR 2022

In this paper, we regard image cropping as a set prediction problem.

Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)

no code yet • 16 Nov 2021

Image-based virtual try-on provides the capacity to transfer a clothing item onto a photo of a given person, which is usually accomplished by warping the item to a given human pose and adjusting the warped item to the person.

RWN: Robust Watermarking Network for Image Cropping Localization

no code yet • 12 Oct 2021

At the recipient's side, ACP extracts the watermark from the attacked image, and we conduct feature matching on the original and extracted watermark to locate the position of the crop in the original image plane.