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

Indoor scene generation has attracted significant attention recently as it iscrucial for applications of gaming, virtual reality, and interior design.Current indoor scene generation methods can produce reasonable room layouts butoften lack diversity and realism. This is primarily due to the limited coverageof existing datasets, including only large furniture without tiny furnishingsin daily life. To address these challenges, we propose FurniScene, alarge-scale 3D room dataset with intricate furnishing scenes from interiordesign professionals. Specifically, the FurniScene consists of 11,698 rooms and39,691 unique furniture CAD models with 89 different types, covering thingsfrom large beds to small teacups on the coffee table. To better suitfine-grained indoor scene layout generation, we introduce a novel Two-StageDiffusion Scene Model (TSDSM) and conduct an evaluation benchmark for variousindoor scene generation based on FurniScene. Quantitative and qualitativeevaluations demonstrate the capability of our method to generate highlyrealistic indoor scenes. Our dataset and code will be publicly available soon.

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes