Self-Attention-Based Text Encoder for Enhancing DMGAN Text-to-Image Generation

Self-Attention-Based Text Encoder for Enhancing DMGAN Text-to-Image Generation

Generating images that align with textual input using text-to-image (TTI) generation models is a challenging task. Generative adversarial network (GAN) based TTI models can produce realistic and semantically consistent images. A bidirectional long-short-term memory (LSTM) network is commonly employe...

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Bibliographic Details
Main Authors: Remya Gopalakrishnan, Sambangi Naveen, Shaeen Kalathil, P. V. Sudeep
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Context-aware text embedding
dynamic memory GAN
generative adversarial network
multi-head attention
text-to-image generation
Online Access:https://ieeexplore.ieee.org/document/11079408/
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https://ieeexplore.ieee.org/document/11079408/

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