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

Digital art synthesis is receiving increasing attention in the multimediacommunity because of engaging the public with art effectively. Current digitalart synthesis methods usually use single-modality inputs as guidance, therebylimiting the expressiveness of the model and the diversity of generatedresults. To solve this problem, we propose the multimodal guided artworkdiffusion (MGAD) model, which is a diffusion-based digital artwork generationapproach that utilizes multimodal prompts as guidance to control theclassifier-free diffusion model. Additionally, the contrastive language-imagepretraining (CLIP) model is used to unify text and image modalities. Extensiveexperimental results on the quality and quantity of the generated digital artpaintings confirm the effectiveness of the combination of the diffusion modeland multimodal guidance. Code is available athttps://github.com/haha-lisa/MGAD-multimodal-guided-artwork-diffusion.

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion