Zero-shot sketch-based image retrieval typically asks for a trained model to be applied as is
to unseen categories. In this paper, we question to argue that this setup by definition is not …

Sketch-based 3D shape retrieval (SBSR) is an active research area in the computer vision
community, but it is still very challenging. One main reason is that existing deep learning …

The key challenge in designing a sketch representation lies with handling the abstract and
iconic nature of sketches. Existing work predominantly utilizes either,(i) a pixelative format …

This paper, for the first time, marries large foundation models with human sketch
understanding. We demonstrate what this brings–a paradigm shift in terms of generalised …

We consider the cross-modal alignment problem for free-hand sketch. Given a sequence of
stroke and a rasterized image, the objective is to enhance the performance of sketch …

We present the first one-shot personalized sketch segmentation method. We aim to segment
all sketches belonging to the same category provisioned with a single sketch with a given …

Even a rough sketch can effectively convey the descriptions of objects, as humans can
imagine the original shape from the sketch. The sketch-to-photo translation is a computer …

Sketch recognition relies on two types of information, namely, spatial contexts like the local
structures in images and temporal contexts like the orders of strokes. Existing methods …

Graphic sketch representations are effective for representing sketches. Existing methods
take the patches cropped from sketches as the graph nodes, and construct the edges based …

Biphasic face photo-sketch synthesis has significant practical value in wide-ranging fields
such as digital entertainment and law enforcement. Previous approaches directly generate …