Conditional GANs for Enhanced Artistic Synthesis: Improving Quality and Speed Through Innovative Colorization Technique
Art is a powerful way for people to express their emotions creatively through sketches. These sketches can range from simple black-and-white or grayscale to vibrant, colourful images, with colours often playing a key role in conveying feelings. Even though not everyone may be able to express their emotions through sketches, technology has made it possible for machines to create and enhance these images with colour. One innovative approach, the art model, makes it easier for artists to produce colourful sketches, helping them save time working on projects like magazine illustrations or newspaper graphics. This model involves three main steps: processing the data, creating the artwork, and adding colour, resulting in dynamic and engaging colour sketches. The image quality is significantly enhanced through this approach, as compared to different approaches. Its success is examined using performance measures like popularity and its ability to transform sketches into fully realized images.
Authors
- Hardarshan Kaur
- K. Paul (ORCID: https://orcid.org/0000-0003-4879-2054)
- M Manish
- Tenzin Ngakpal
- Aswin Kumar Gamango
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1109/icdt63985.2025.10986655
- Primary Topic
- Color Science and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00