English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Image composition is an important operation in image processing, but theinconsistency between foreground and background significantly degrades thequality of composite image. Image harmonization, which aims to make theforeground compatible with the background, is a promising yet challenging task.However, the lack of high-quality public dataset for image harmonization, whichsignificantly hinders the development of image harmonization techniques.Therefore, we contribute an image harmonization dataset iHarmony4 by generatingsynthesized composite images based on existing COCO (resp., Adobe5k, day2night)dataset, leading to our HCOCO (resp., HAdobe5k, Hday2night) sub-dataset. Toenrich the diversity of our dataset, we also generate synthesized compositeimages based on our collected Flick images, leading to our HFlickr sub-dataset.The image harmonization dataset iHarmony4 is released athttps://github.com/bcmi/Image_Harmonization_Datasets.

Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night