In this paper, we leverage CLIP for zero-shot sketch based image retrieval (ZS-SBIR). We
are largely inspired by recent advances on foundation models and the unparalleled …

Sketches are highly expressive, inherently capturing subjective and fine-grained visual
cues. The exploration of such innate properties of human sketches has, however, been …

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …

In this paper we propose a novel abstraction-aware sketch-based image retrieval framework
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …

This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by
putting forward a strong baseline that overshoots prior state-of-the art by 11%. This is not via …

This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

In this paper, we extend scene understanding to include that of human sketch. The result is a
complete trilogy of scene representation from three diverse and complementary modalities …

This paper studies the problem of 2D sketch to 3D shape retrieval, but with a focus on
democratising the process. We would like this democratisation to happen on two fronts:(i) to …

Self-service shop** technologies have become commonplace in modern society.
Although various innovative solutions have been adopted, there is still a gap in providing …

Due to the advancement of deep learning, the performance of salient object detection (SOD)
has been significantly improved. However, deep learning-based techniques require a …