Abstract In Composed Image Retrieval (CIR), a user combines a query image with text to
describe their intended target. Existing methods rely on supervised learning of CIR models …

In the fashion domain, there exists a variety of vision-and-language (V+ L) tasks, including
cross-modal retrieval, text-guided image retrieval, multi-modal classification, and image …

Controllable person image synthesis aims at rendering a source image based on user-
specified changes in body pose or appearance. Prior art approaches leverage pixel-level …

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 (CIR) is a new and flexible image retrieval paradigm, which can
retrieve the target image for a multimodal query, including a reference image and its …

Video-text retrieval is an emerging stream in both computer vision and natural language
processing communities, which aims to find relevant videos given text queries. In this paper …

We investigate composed image retrieval with text feedback. Users gradually look for the
target of interest by moving from coarse to fine-grained feedback. However, existing …

Different from the Composed Image Retrieval task that requires expensive labels for training
task-specific models, Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks …

Fashion is the manner in which we introduce ourselves to the world and has become
perhaps the biggest industry on the planet. In recent years, fashion-related research has …

Given a query composed of a reference image and a relative caption, the Composed Image
Retrieval goal is to retrieve images visually similar to the reference one that integrates the …