Traditional recommender systems typically use user-item rating histories as their main data
source. However, deep generative models now have the capability to model and sample …

The rapidly evolving fields of e-commerce and metaverse continue to seek innovative
approaches to enhance the consumer experience. At the same time, recent advancements …

Composed image retrieval (CIR) task takes a composed query of image and text aiming to
search relative images for both conditions. Conventional CIR approaches need a training …

We study the zero-shot Composed Image Retrieval (ZS-CIR) task which is to retrieve the
target image given a reference image and a description without training on the triplet …

Two primary input modalities prevail in image retrieval: sketch and text. While text is widely
used for inter-category retrieval tasks sketches have been established as the sole preferred …

Composed Image Retrieval (CoIR) has recently gained popularity as a task that considers
both text and image queries together, to search for relevant images in a database. Most …