GRCVLGApr 27, 2023

Contour Completion by Transformers and Its Application to Vector Font Data

arXiv:2304.13988v12 citationsh-index: 34
Originality Synthesis-oriented
AI Analysis

This addresses the problem of automatically completing vector outlines in documents and graphics, such as fonts, which is incremental as it applies a known model to a specific domain.

The paper tackles the contour completion task, where missing points in a contour sequence must be detected and completed simultaneously, and proposes a Transformer-based method that achieves results for typeface contour completion.

In documents and graphics, contours are a popular format to describe specific shapes. For example, in the True Type Font (TTF) file format, contours describe vector outlines of typeface shapes. Each contour is often defined as a sequence of points. In this paper, we tackle the contour completion task. In this task, the input is a contour sequence with missing points, and the output is a generated completed contour. This task is more difficult than image completion because, for images, the missing pixels are indicated. Since there is no such indication in the contour completion task, we must solve the problem of missing part detection and completion simultaneously. We propose a Transformer-based method to solve this problem and show the results of the typeface contour completion.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes