Text to Image Generator with Latent Diffusion Models

Author:

Rauniyar Apoorva1,Raj Aryan1,Kumar Ashish1,Kandu Ashish Kumar1,Singh Astha1,Gupta Anjani1

Affiliation:

1. IMS Engineering College,Department of Computer Science and Engineering,Ghaziabad,India

Publisher

IEEE

Reference21 articles.

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proceedings of the International Conference on Machine Learning (ICML),2015

2. Long Short-Term Memory

3. Unifying visual-semantic embeddings with multimodal neural language models;kiros;Proceedings of the Neural Information Processing Systems (NIPS),2014

4. Deep visual-semantic alignments for generating image descriptions

5. Deep captioning with multimodal recurrent neural networks (m-mn);mao,0

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1. Generative AI for Text to Image;Advances in Media, Entertainment, and the Arts;2024-04-19

2. Synthesizing 3D Faces and Bodies from Text: A Stable Diffusion-based Fusion of DECA and PIFuHD;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. A Study on the Application of Using Hypernetwork and Low Rank Adaptation for Text-to-Image Generation Based on Diffusion Models;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

4. Innovative AI-Powered Image Generator: Converting Text into Images with OpenAI;Information Systems Engineering and Management;2024

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