Even though trained mainly on images, we discover that pretrained diffusion models show
impressive power in guiding sketch synthesis. In this paper, we present DiffSketcher, an …

In this paper, we present a method for converting a given scene image into a sketch using
different types and multiple levels of abstraction. We distinguish between two types of …

We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-
COCO. With practical applications in mind, we collect sketches that convey scene content …

This work explores a novel image geometric abstraction paradigm based on assembly out of
a pool of pre-defined simple parametric primitives (ie, triangle, rectangle, circle and …

We scrutinise an important observation plaguing scene-level sketch research--that a
significant portion of scene sketches are" partial". A quick pilot study reveals:(i) a scene …

Creative sketching or doodling is an expressive activity, where imaginative and previously
unseen depictions of everyday visual objects are drawn. Creative sketch image generation …

Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and
visual communication that spans various disciplines. While artificial systems have driven …

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 …

To perceive and create a whole from parts is a prime trait of the human visual system. In this
paper, we teach machines to perform a similar task by recreating a vectorised human sketch …

Retrieval systems are commonly used to find relevant data in large datasets. In engineering,
these systems are useful for locating specific engineering shapes in a large dataset of …