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

We introduce PhotoBot, a framework for automated photo acquisition based onan interplay between high-level human language guidance and a robotphotographer. We propose to communicate photography suggestions to the user viaa reference picture that is retrieved from a curated gallery. We exploit avisual language model (VLM) and an object detector to characterize referencepictures via textual descriptions and use a large language model (LLM) toretrieve relevant reference pictures based on a user's language query throughtext-based reasoning. To correspond the reference picture and the observedscene, we exploit pre-trained features from a vision transformer capable ofcapturing semantic similarity across significantly varying images. Using thesefeatures, we compute pose adjustments for an RGB-D camera by solving aPerspective-n-Point (PnP) problem. We demonstrate our approach on a real-worldmanipulator equipped with a wrist camera. Our user studies show that photostaken by PhotoBot are often more aesthetically pleasing than those taken byusers themselves, as measured by human feedback.

PhotoBot: Reference-Guided Interactive Photography via Natural Language