Sketchformer is a novel transformer-based representation for encoding free-hand sketches
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …

Previous researches of sketches often considered sketches in pixel format and leveraged
CNN based models in the sketch understanding. Fundamentally, a sketch is stored as a …

To see is to sketch--free-hand sketching naturally builds ties between human and machine
vision. In this paper, we present a novel approach for translating an object photo to a sketch …

Hand-drawn sketch recognition is a fundamental problem in computer vision, widely used in
sketch-based image and video retrieval, editing, and reorganization. Previous methods often …

We propose SketchINR to advance the representation of vector sketches with implicit neural
models. A variable length vector sketch is compressed into a latent space of fixed dimension …

In this paper, we tackle for the first time, the problem of self-supervised representation
learning for free-hand sketches. This importantly addresses a common problem faced by the …

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 …

Fine-grained sketch-based image retrieval (FG-SBIR) addresses matching specific photo
instance using free-hand sketch as a query modality. Existing models aim to learn an …

Sketch is an important media for human to communicate ideas, which reflects the superiority
of human intelligence. Studies on sketch can be roughly summarized into recognition and …

What makes free-hand sketches appealing for humans lies with its capability as a universal
tool to depict the visual world. Such flexibility at human ease, however, introduces abstract …