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Detail
Conference Paper
Restoration of Hand-Drawn Architectural Drawings using Latent Space Mapping with Degradation Generator
- Authors
- Nakkwan Choi, Seungjae Lee, Yongsik Lee, Seungjoon Yang
- Issue Date
- 2023-06
- Citation
- Conference on Computer Vision and Pattern Recognition (CVPR) 2023, pp.14164-14172
- Language
- English
- Type
- Conference Paper
- Abstract
- This work presents the restoration of drawings of wooden built heritage. Hand-drawn drawings contain the most important original information but are often severely degraded over time. A novel restoration method based on the vector quantized variational autoencoders is presented. Latent space representations of drawings and noise are learned, which are used to map noisy drawings to clean drawings for restoration and to generate authentic noisy drawings for data augmentation. The proposed method is applied to the drawings archived in the Cultural Heritage Administration. Restored drawings show significant quality improvement and allow more accurate interpretations of information.
- KSP Keywords
- Built heritage, Cultural Heritage, Data Augmentation, Hand-drawn, Latent space, Over time, Quality improvement, Restoration method, space mapping