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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Image matting is an important computer vision problem. Many existing mattingmethods require a hand-made trimap to provide auxiliary information, which isvery expensive and limits the real world usage. Recently, some trimap-freemethods have been proposed, which completely get rid of any user input.However, their performance lag far behind trimap-based methods due to the lackof guidance information. In this paper, we propose a matting method that useFlexible Guidance Input as user hint, which means our method can use trimap,scribblemap or clickmap as guidance information or even work without anyguidance input. To achieve this, we propose Progressive Trimap Deformation(PTD)scheme that gradually shrink the area of the foreground and background of thetrimap with the training step increases and finally become a scribblemap. Tomake our network robust to any user scribble and click, we randomly samplepoints on foreground and background and perform curve fitting. Moreover, wepropose Semantic Fusion Module(SFM) which utilize the Feature PyramidEnhancement Module(FPEM) and Joint Pyramid Upsampling(JPU) in matting task forthe first time. The experiments show that our method can achievestate-of-the-art results comparing with existing trimap-based and trimap-freemethods.

Deep Image Matting with Flexible Guidance Input