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Image Cropping

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

Papers

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Showing 1–50 of 83 papers

TitleStatusHype
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion ModelCode3
FiT: Flexible Vision Transformer for Diffusion ModelCode3
Spatial-Semantic Collaborative Cropping for User Generated ContentCode2
Deep PCB To COCO ConvertorCode2
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed InputsCode1
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image CompositionCode1
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision TransformerCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Human-centric Image Cropping with Partition-aware and Content-preserving FeaturesCode1
From Image to Imuge: Immunized Image GenerationCode1
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesCode1
Composing Photos Like a PhotographerCode1
Salient Object Ranking with Position-Preserved AttentionCode1
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and AgencyCode1
Dissecting Image CropsCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
IDA: Improved Data Augmentation Applied to Salient Object DetectionCode1
Density Map Guided Object Detection in Aerial ImagesCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
Grid Anchor based Image Cropping: A New Benchmark and An Efficient ModelCode1
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual ClassificationCode1
Learning to Compose with Professional Photographs on the WebCode1
Enhancing DR Classification with Swin Transformer and Shifted Window Attention—0
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings—0
ACE: Anatomically Consistent Embeddings in Composition and DecompositionCode0
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Understanding the Dependence of Perception Model Competency on Regions in an ImageCode0
Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping—0
Low Cost Machine Vision for Insect Classification—0
Learning Subject-Aware Cropping by Outpainting Professional Photos—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Image Cropping under Design Constraints—0
Challenges of building medical image datasets for development of deep learning software in stroke—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
Construction of unbiased dental template and parametric dental model for precision digital dentistryCode0
Lightweight High-Performance Blind Image Quality Assessment—0
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression—0
Image Cropping With Spatial-Aware Feature and Rank Consistency—0
An Experience-based Direct Generation approach to Automatic Image Cropping—0
ClipCrop: Conditioned Cropping Driven by Vision-Language Model—0
Image Protection for Robust Cropping Localization and Recovery—0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping—0
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CACNetBDE0.03—Unverified