AI-Driven Multimedia: Empowering Creators Through Text-to-Image and Video Technology

Shyam sundar bhagat , Amitesh Shukla

Keywords—Generative Models, AI-powered multimedia generation, Machine Learning, Visual Content Production, Generative Adversarial Networks

This project explores the cutting-edge realm of Text-to-Image and Video Synthesis, harnessing advanced machine learning techniques to generate realistic visual content directly from textual descriptions. By effectively merging language and multimedia, the application excels in crafting lifelike images of birds and flowers from detailed inputs. At its core, this initiative employs deep learning strategies, particularly Generative Adversarial Networks (GANs) and recurrent neural networks, to ensure high-quality image and video production. The approach involves thorough pre-training on a wide array of textual and visual datasets, continually enhancing the model’s accuracy through user-generated feedback. Ultimately, this user-centric application aims to empower content creators, designers, and storytellers, enabling them to easily generate stunning visuals from simple descriptions and transforming the landscape of multimedia creation.

Published Paper   E-Certificate

"AI-Driven Multimedia: Empowering Creators Through Text-to-Image and Video Technology", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.a871-a876, October-2024, Available :https://ijnrd.org/papers/IJNRD2410094.pdf

Volume 9 Issue 10, October-2024

Pages : a871-a876

Paper Reg. ID: IJNRD_300709

Published Paper Id: IJNRD2410094

Downloads: 00030

Research Area: Science and Technology

Country: SIWAN , BIHAR, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410094

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410094

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition