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Main Authors: Qin, Haoyun, Lin, Jian, Liu, Hanyuan, Liu, Xueting, Li, Chengze
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.09348
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author Qin, Haoyun
Lin, Jian
Liu, Hanyuan
Liu, Xueting
Li, Chengze
author_facet Qin, Haoyun
Lin, Jian
Liu, Hanyuan
Liu, Xueting
Li, Chengze
contents Assistive drawing aims to facilitate the creative process by providing intelligent guidance to artists. Existing solutions often fail to effectively model intricate stroke details or adequately address the temporal aspects of drawing. We introduce hyperstroke, a novel stroke representation designed to capture precise fine stroke details, including RGB appearance and alpha-channel opacity. Using a Vector Quantization approach, hyperstroke learns compact tokenized representations of strokes from real-life drawing videos of artistic drawing. With hyperstroke, we propose to model assistive drawing via a transformer-based architecture, to enable intuitive and user-friendly drawing applications, which are experimented in our exploratory evaluation.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09348
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hyperstroke: A Novel High-quality Stroke Representation for Assistive Artistic Drawing
Qin, Haoyun
Lin, Jian
Liu, Hanyuan
Liu, Xueting
Li, Chengze
Computer Vision and Pattern Recognition
Assistive drawing aims to facilitate the creative process by providing intelligent guidance to artists. Existing solutions often fail to effectively model intricate stroke details or adequately address the temporal aspects of drawing. We introduce hyperstroke, a novel stroke representation designed to capture precise fine stroke details, including RGB appearance and alpha-channel opacity. Using a Vector Quantization approach, hyperstroke learns compact tokenized representations of strokes from real-life drawing videos of artistic drawing. With hyperstroke, we propose to model assistive drawing via a transformer-based architecture, to enable intuitive and user-friendly drawing applications, which are experimented in our exploratory evaluation.
title Hyperstroke: A Novel High-quality Stroke Representation for Assistive Artistic Drawing
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2408.09348