This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR),
however with two significant differentiators to prior art (i) we tackle all variants (inter …

The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

We present the Sketchy database, the first large-scale collection of sketch-photo pairs. We
ask crowd workers to sketch particular photographic objects sampled from 125 categories …

Synthesizing realistic images from human drawn sketches is a challenging problem in
computer graphics and vision. Existing approaches either need exact edge maps, or rely on …

We investigate the problem of fine-grained sketch-based image retrieval (SBIR), where free-
hand human sketches are used as queries to perform instance-level retrieval of images. This …

Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically
solved by learning a joint embedding space where the semantic content shared between …

This paper for the first time explores text-to-image diffusion models for Zero-Shot Sketch-
based Image Retrieval (ZS-SBIR). We highlight a pivotal discovery: the capacity of text-to …

Human sketches are unique in being able to capture both the spatial topology of a visual
object, as well as its subtle appearance details. Fine-grained sketch-based image retrieval …

We propose a deep learning approach to free-hand sketch recognition that achieves state-of-
the-art performance, significantly surpassing that of humans. Our superior performance is a …

In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-
SBIR), where human sketches are used as queries to conduct retrieval of photos from …