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

Edit fidelity is a significant issue in open-world controllable generativeimage editing. Recently, CLIP-based approaches have traded off simplicity toalleviate these problems by introducing spatial attention in a handpicked layerof a StyleGAN. In this paper, we propose CoralStyleCLIP, which incorporates amulti-layer attention-guided blending strategy in the feature space ofStyleGAN2 for obtaining high-fidelity edits. We propose multiple forms of ourco-optimized region and layer selection strategy to demonstrate the variationof time complexity with the quality of edits over different architecturalintricacies while preserving simplicity. We conduct extensive experimentalanalysis and benchmark our method against state-of-the-art CLIP-based methods.Our findings suggest that CoralStyleCLIP results in high-quality edits whilepreserving the ease of use.

CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing