Published on: April 2026
GENERATING REALISTIC 3D VIEWS FROM AI-POWERED TEXT
Yeludanda Hruthika M Nandini G Sri Sai G GopalaKrishna
M. Hari Krishna
Article Status
Available Documents
Abstract
How to Cite this Paper
Hruthika, Y., Nandini, M., Sai, G. S. & GopalaKrishna, G. (2026). Generating Realistic 3D views From AI-powered Text. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.095
Hruthika, Yeludanda, et al.. "Generating Realistic 3D views From AI-powered Text." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.095.
Hruthika, Yeludanda,M Nandini,G Sai, and G GopalaKrishna. "Generating Realistic 3D views From AI-powered Text." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.095.
Search & Index
References
- Kim and S. Kim, “Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. DOI: 10.1109/CVPR52734.2025.01040
- B. K. and U. D. R., “Advances in Text Detection and Recognition in Multi View Image Scenes,” IEEE Conference Proceedings, 2025.DOI: 10.1109/IACIS65746
- Ramesh et al., “Zero-Shot Text-to-Image Generation using Multimodal Learning,” Proceedings of the International Conference on Machine Learning (ICML), 2021. DOI: 10.48550/arXiv.2102.12092
- Poole, A. Jain, J. T. Barron, and B. Mildenhall, “DreamFusion: Text-to-3D using Diffusion Guidance,” arXiv preprint, 2022.DOI: 10.48550/arXiv.2209.14988
- Ho, A. Jain, and P. Abbeel, “Denoising Diffusion Probabilistic Models,” Advances in Neural Information Processing Systems (NeurIPS), 2020.DOI: 10.48550/arXiv.2006.11239
- Mildenhall et al., “NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,” European Conference on Computer Vision (ECCV), 2020.DOI: 10.48550/arXiv.2003.08934
- Vaswani et al., “Attention Is All You Need,” Advances in Neural Information Processing Systems (NeurIPS), 2017.DOI: 10.48550/arXiv.1706.03762
- Reed et al., “Generative Adversarial Text to Image Synthesis,” Proceedings of the International Conference on Machine Learning (ICML), 2016.DOI: 10.48550/arXiv.1605.05396
- Goodfellow et al., “Generative Adversarial Nets,” Advances in Neural Information Processing Systems (NeurIPS), 2014.DOI: 10.48550/arXiv.1406.2661
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 06 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.