Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Author:
Affiliation:
1. KAIST,Republic of Korea
2. Yonsei University,Republic of Korea
3. NAVER AI Lab,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377453.pdf?arnumber=10377453
Reference48 articles.
1. Structured denoising diffusion models in discrete state-spaces;Austin,2021
2. ediffi: Text-to-image diffusion models with an ensemble of expert denoisers;Balaji,2022
3. Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
4. Instance-conditioned gan;Casanova;Advances in Neural Information Processing Systems,2021
5. Muse: Text-to- image generation via masked generative transformers;Chang,2023
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