Search Results for author:
Found 7 papers, 2 papers with code
Controlled and Conditional Text to Image Generation with Diffusion Prior
We observe that Diffusion Prior can be used in a memory and compute efficient way to constrain the generation to a specific domain without altering the larger Diffusion Decoder.
StyleBabel: Artistic Style Tagging and Captioning
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a novel participatory method from experts studying at specialist art and design schools.
Towards Zero-shot Cross-lingual Image Retrieval and Tagging
There has been a recent spike in interest in multi-modal Language and Vision problems.
Towards Zero-shot Cross-lingual Image Retrieval
There has been a recent spike in interest in multi-modal Language and Vision problems.
Multi-Modal Retrieval using Graph Neural Networks
Most real world applications of image retrieval such as Adobe Stock, which is a marketplace for stock photography and illustrations, need a way for users to find images which are both visually (i. e. aesthetically) and conceptually (i. e. containing the same salient objects) as a query image.
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data
In this paper, we propose a new method for learning text-visual embedding using both image titles and click-through data from an image search engine.
A Deep Learning Approach to Drone Monitoring
A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work.
