Sequential Semantic Generative Communication for Progressive Text-to-Image Generation-Reference-Cited by-同舟云学术

Sequential Semantic Generative Communication for Progressive Text-to-Image Generation

Published:2023-09-11 Issue: Volume: Page:
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Container-title:2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
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Author:

Nam Hyelin¹,Park Jihong²,Choi Jinho²,Kim Seong-Lyun¹

Affiliation:

1. Yonsei University,School of EEE,Seoul,Korea

2. Deakin University,School of Information Technology,Australia,VIC 3220

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10287388/10287413/10287475.pdf?arnumber=10287475

Reference11 articles.

1. Auto-encoding variational bayes;kingma;arXiv preprint arXiv 1312 6114,2013

2. Stable diffusion with diffusers;patil;Hugging Face Blog,2022

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015 18th International Conference Munich Germany October 5-9 2015 Proceedings Part III 18,2015

4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;arXiv preprint arXiv 2010 11419,2020

5. Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation;li;International Conference on Machine Learning,2022

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