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 …

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 …

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 …

Freehand sketching is a dynamic process where points are sequentially sampled and
grouped as strokes for sketch acquisition on electronic devices. To recognize a sketched …

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 …

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 …

In this paper, a deep end-to-end network for sketch recognition, named Deep Visual-
Sequential Fusion model (DVSF) is proposed to model the visual and sequential patterns of …

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 …

Sketches in existing large-scale datasets like the recent QuickDraw collection are often
stored in a vector format, with strokes consisting of sequentially sampled points. However …

We investigate the problem of stroke-level sketch segmentation, which is to train machines
to assign strokes with semantic part labels given a input sketch. Solving the problem of …