JournalGenerative AIOptimization
Words shaping worlds: A comprehensive exploration of text-driven image and video generation with generative adversarial networks
Anwar Ullah and Muhammad Numan and Khalid, M. N. A. and Abdul Majid
Neurocomputing · vol. 632 · pp. 129767 · 2025
Interactive demo
Agentic content generation · genetic + critic
DEMO
This interactive is a faithful re-design of the research, simplified for illustrative and teaching purposes. It conveys the idea and behaviour of the model — it is not the paper’s full method, data, or results.
A looping preview of agentic procedural content generation: a genetic loop with generator and critic agents evolves a rough draft into a well-formed role-playing quest, matching a target difficulty arc.
Chicago citation
Anwar Ullah and Muhammad Numan and Khalid, M. N. A. and Abdul Majid. “Words shaping worlds: A comprehensive exploration of text-driven image and video generation with generative adversarial networks.” Neurocomputing 632 (2025): 129767. https://doi.org/10.1016/j.neucom.2025.129767
BibTeX
@article{anwarullahandmuhammadnumanandkhalid2025words,
author = {Anwar Ullah and Muhammad Numan and Khalid, M. N. A. and Abdul Majid},
title = {Words shaping worlds: A comprehensive exploration of text-driven image and video generation with generative adversarial networks},
journal = {Neurocomputing},
volume = {632},
pages = {129767},
year = {2025},
doi = {10.1016/j.neucom.2025.129767},
}