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 implementations
AADB
CUHK Image Cropping
GNMC
Most implemented papers
Human-centric Image Cropping with Partition-aware and Content-preserving Features
bcmi/human-centric-image-cropping
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Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task.
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
fistyee/mixpro
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TransMix uses unreliable attention maps to compute mixed attention labels that can affect the model.
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
shngjz/wildcamera
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NeurIPS 2023
3D sensing for monocular in-the-wild images, e. g., depth estimation and 3D object detection, has become increasingly important.
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
liuxiaoyu1104/unic
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ICCV 2023
In this paper, we circumvent this issue by presenting a joint framework for both unbounded recommendation of camera view and image composition (i. e., UNIC).
Spatial-Semantic Collaborative Cropping for User Generated Content
A large amount of User Generated Content (UGC) is uploaded to the Internet daily and displayed to people world-widely through the client side (e. g., mobile and PC).
