Genrative Visual Content & Editing Suite
Author(s): 1 . Vanita Buradkar, 2. Tanvi Kapgate, 3. Omkumar Moury, 4. Mayur There, 5. Achal Chamate, 6. Suhani Kotambkar
Authors Affiliations:
1Professor, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
2Student, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
3Student, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
4Student, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
5Student, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
6Student, Department of Computer Science and Engineering, Rajiv Gandhi College of Engg, Chandrapur, India
DOIs:10.2015/IJIRMF/202605036     |     Paper ID: IJIRMF202605036Generative Visual Content and Editing Suite is an advanced system that uses Artificial Intelligence (AI) and machine learning techniques to automatically create, modify, and enhance visual content such as images, graphics, and designs. The system is powered by generative models like Generative Adversarial Networks (GANs) and diffusion models, which can generate high-quality and realistic visuals based on user input such as text prompts, sketches, or reference images.
This suite provides a wide range of features including image generation, background removal, object replacement, color correction, style transfer, image enhancement, and automated design suggestions
Vanita Buradkar, Tanvi Kapgate, Omkumar Moury, Mayur There, Achal Chamate, Suhani Kotambkar (2026); Genrative Visual Content & Editing Suite, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-12, Issue-5, Available on – https://www.ijirmf.com/
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