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

Removing objects from images is a challenging problem that is important formany applications, including mixed reality. For believable results, the shadowsthat the object casts should also be removed. Current inpainting-based methodsonly remove the object itself, leaving shadows behind, or at best requirespecifying shadow regions to inpaint. We introduce a deep learning pipeline forremoving a shadow along with its caster. We leverage rough scene models inorder to remove a wide variety of shadows (hard or soft, dark or subtle, largeor thin) from surfaces with a wide variety of textures. We train our pipelineon synthetically rendered data, and show qualitative and quantitative resultson both synthetic and real scenes.

No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry