Ai–Powered Virtual Painting Platform

DOI

10.2991/978-94-6463-858-5_20How to use a DOI?

Keywords

[Gan] Generative Adversarial Network; Reinforcement Learning; Convolutional Networks

Abstract

The integration of new technologies such as artificial intelligence (AI) has transformed many fields, including fine arts, creating new possibilities for expression. In this paper, we present a model of a virtual painting platform using AI that aims to facilitate and democratize the painting process. The platform accepts instructions from the users and employs advanced AI technologies such as deep learning neural networks to produce novel and sophisticated pieces of art. It transforms diverse artistic modes into systems a user can easily paint with, but instead of actual paintings, the end result comes out as unique fingers in a few clicks—making it accessible to every single person, whether they are an artist or a casual art seeker. Moreover, the system incorporates real-time corrective feedback and allows enhancing iterations of the painted images. It is discussed in detail how this platform is developed, what user experience was designed, and how this platform can be used in education, gaming, and other creative industries. The ability of the platform to unify traditional methods of creating art and new technologies brings a step forward in integrating and using creativity with AI. It enhances the easiness with creativity which can lead to limitless possibilities in one’s imagination.

In this paper, we employ the Generative Adversarial Network [GAN] alongside a combination of Reinforcement Learning [RL] and convolutional networks. These advanced techniques can be used pretrained on various styles and to train further and to also blend into adjust styles dynamically according to the use preferences.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - K. Sai Sathwik Reddy
AU  - N. Krushna Yadav
AU  - P. Lasya
AU  - R. Sai Sindhu Theja
PY  - 2025
DA  - 2025/11/04
TI  - Ai–Powered Virtual Painting Platform
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 214
EP  - 225
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_20
DO  - 10.2991/978-94-6463-858-5_20
ID  - Reddy2025
ER  -