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Clip for all things zero-shot sketch-based image retrieval, fine-grained or not
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 …
are largely inspired by recent advances on foundation models and the unparalleled …
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
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 …
promise of direct sketch control in generative AI. We importantly democratise the process …
Picture that sketch: Photorealistic image generation from abstract sketches
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 …
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …
How to handle sketch-abstraction in sketch-based image retrieval?
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 …
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
What can human sketches do for object detection?
Sketches are highly expressive, inherently capturing subjective and fine-grained visual
cues. The exploration of such innate properties of human sketches has, however, been …
cues. The exploration of such innate properties of human sketches has, however, been …
Stylemeup: Towards style-agnostic sketch-based image retrieval
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 …
solved by learning a joint embedding space where the semantic content shared between …
Text-to-image diffusion models are great sketch-photo matchmakers
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 …
based Image Retrieval (ZS-SBIR). We highlight a pivotal discovery: the capacity of text-to …
Sketching without worrying: Noise-tolerant sketch-based image retrieval
Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch
problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …
problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …
Sketchtrans: Disentangled prototype learning with transformer for sketch-photo recognition
Matching hand-drawn sketches with photos (aka sketch-photo recognition or re-
identification) faces the information asymmetry challenge due to the abstract nature of the …
identification) faces the information asymmetry challenge due to the abstract nature of the …
Exploiting unlabelled photos for stronger fine-grained SBIR
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 …
putting forward a strong baseline that overshoots prior state-of-the art by 11%. This is not via …