SHAD3S: A Model to Sketch, Shade and Shadow
Abstract
Hatching is a common method used by artists to accentuate the third dimension of a sketch, and to illuminate the scene. Our system SHAD3S attempts to compete with a human at hatching generic three-dimensional (3D) shapes, and also tries to assist her in a form exploration exercise. The novelty of our approach lies in the fact that we make no assumptions about the input other than that it represents a 3D shape, and yet, given a contextual information of illumination and texture, we synthesise an accurate hatch pattern over the sketch, without access to 3d or pseudo 3D. In the process, we contribute towards a) a cheap yet effective method to synthesise a sufficiently large high fidelity dataset, pertinent to task; b) creating a pipeline with conditional generative adversarial network (CGAN); and c) creating an interactive utility with GIMP, that is a tool for artists to engage with automated hatching or a form-exploration exercise. User evaluation of the tool suggests that the model performance does generalise satisfactorily over diverse input, both in terms of style as well as shape. A simple comparison of inception scores suggest that the generated distribution is as diverse as the ground truth.k
Cite
Text
Venkataramaiyer et al. "SHAD3S: A Model to Sketch, Shade and Shadow." Winter Conference on Applications of Computer Vision, 2021.Markdown
[Venkataramaiyer et al. "SHAD3S: A Model to Sketch, Shade and Shadow." Winter Conference on Applications of Computer Vision, 2021.](https://mlanthology.org/wacv/2021/venkataramaiyer2021wacv-shad3s/)BibTeX
@inproceedings{venkataramaiyer2021wacv-shad3s,
title = {{SHAD3S: A Model to Sketch, Shade and Shadow}},
author = {Venkataramaiyer, Raghav Brahmadesam and Joshi, Abhishek and Narang, Saisha and Namboodiri, Vinay P.},
booktitle = {Winter Conference on Applications of Computer Vision},
year = {2021},
pages = {3616-3625},
url = {https://mlanthology.org/wacv/2021/venkataramaiyer2021wacv-shad3s/}
}