Abstract

Line drawing with colorization is a popular art format and tool for architectural illustration. The goal of this research is toward generating a high-quality and natural-looking colorization based on an architectural line drawing. This paper presents a new Generative Adversarial Network (GAN)-based method, named ArchGANs, including ArchColGAN and ArchShdGAN. ArchColGAN is a GAN-based line-feature-aware network for stylized colorization generation. ArchShdGAN is a lighting effects generation network, from which the building depiction in 3D can benefit. In particular, ArchColGAN is able to maintain the important line features and the correlation property of building parts as well as reduce the uneven colorization caused by sparse lines. Moreover, we proposed a color enhancement method to further improve ArchColGAN. Besides the single line drawing images, we also extend our method to handle line drawing image sequences and achieve rotation animation. Experiments and studies demonstrate the effectiveness and usefulness of our proposed method for colorization prototyping.

Highlights

  • As a saying from Paul Rudolph in [35]: “the architectural drawing is the most eloquent tool a professional has to communicate design ideas.” For architects, architectural illustration acts as an essential medium to clarify, communicate, or document designs

  • We mainly review the Computer graphics (CG)-based methods that are relevant to the watercolor alike colorization and line drawing

  • We propose a new generative adversarial network (GAN) framework ArchGANs for tackling the following issues: the inadequately preserved line features and building part correlation, the undesired uneven colorization due to sparse lines, as well as the lack of plausible depiction of 3D lighting effects

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Summary

Introduction

As a saying from Paul Rudolph in [35]: “the architectural drawing is the most eloquent tool a professional has to communicate design ideas.” For architects, architectural illustration acts as an essential medium to clarify, communicate, or document designs. As a saying from Paul Rudolph in [35]: “the architectural drawing is the most eloquent tool a professional has to communicate design ideas.”. Architectural illustration acts as an essential medium to clarify, communicate, or document designs. Line drawing with colorization is a popular and important technique for architectural illustration. From the engineering perspective of the architect, it is expressive and can show the essential building information, for example, lighting effects, color, material, layout, and structure. From the art perspective of the architect, architectural illustration using line drawing with colorization is a significant art format to portray artistic concepts in architecture and convey an architect’s ideas

Computer graphics-based methods
Convolutional neural networks-based methods
Generative adversarial networks-based methods
Main structure
Training dataset
ArchColGAN
Implementation
ArchShdGAN
Colorization enhancement
Rotation animation effect
Result and discussion
Evaluating ArchGANs
Line evaluation
Color evaluation
Evaluating color and animation enhancement
Color enhancement
User study
Limitations
Conclusion and future work
Full Text
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