AI-driven audio-to-video generation for dynamic content creation via stable diffusion and CNN-augmented transformers
- DOI
- 10.1038/s41598-026-38758-3
- Published
- 2026-02-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-38758-3,
title = {AI-driven audio-to-video generation for dynamic content creation via stable diffusion and CNN-augmented transformers},
author = {Deepak Dharrao and Madhuri Dharrao and Sneha Padgaonkar and Sneha Kumari and P. S. Sreevaishnavi and Priya Pise and Anupkumar Bongale},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-38758-3},
url = {https://doi.org/10.1038/s41598-026-38758-3}
}RIS
TY - JOUR TI - AI-driven audio-to-video generation for dynamic content creation via stable diffusion and CNN-augmented transformers AU - Deepak Dharrao AU - Madhuri Dharrao AU - Sneha Padgaonkar AU - Sneha Kumari AU - P. S. Sreevaishnavi AU - Priya Pise AU - Anupkumar Bongale PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-38758-3 UR - https://doi.org/10.1038/s41598-026-38758-3 ER -
APA
Dharrao, D., Dharrao, M., Padgaonkar, S., Kumari, S., Sreevaishnavi, P. S., Pise, P., & Bongale, A. (2026). AI-driven audio-to-video generation for dynamic content creation via stable diffusion and CNN-augmented transformers. Scientific Reports. https://doi.org/10.1038/s41598-026-38758-3
Source records
- crossref · retrieved 2026-09-26T06:29:40.941Z