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.
Libraries
Use these libraries to find Image Cropping models and implementationsLatest papers with no code
An Experience-based Direct Generation approach to Automatic Image Cropping
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
Image cropping has progressed tremendously under the data-driven paradigm.
Image Protection for Robust Cropping Localization and Recovery
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
This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset.
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
The accuracies are acquired for each augmentation technique using a RESNET18 model.
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset
A painful element of real data is that it tends to be imbalanced.
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping
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
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)
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
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.