awesome-discrete-diffusion-models
A curated list for awesome dicrete diffusion models resources.
Contribution
Feel free to send pull requests to add more links!
Table of Contents
Resources
Surveys
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Diffusion Models: A Comprehensive Survey of Methods and Applications, arXiv 2022 [PDF]
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Diffusion Models for Non-autoregressive Text Generation: A Survey, arXiv 2022 [PDF]
Papers
Year 2022
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Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning, ICLR 2023 [PDF, Code]
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EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start, arXiv 2022 [PDF, Code]
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SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control, arXiv 2022 [PDF, Code]
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DiffusER: Discrete Diffusion via Edit-based Reconstruction, ICLR 2023 [PDF, Code]
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Continuous diffusion for categorical data, arXiv 2022 [PDF]
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Self-conditioned Embedding Diffusion for Text Generation, NeurIPS 2022 [PDF]
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Diffusion-LM Improves Controllable Text Generation, NeurIPS 2022 [PDF, Code]
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Categorical SDEs with Simplex Diffusion, arXiv 2022 [PDF]
Year 2021
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Autoregressive Diffusion Models, ICLR 2022 [PDF]
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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions, NeurIPS 2021 [PDF]
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Structured Denoising Diffusion Models in Discrete State-Spaces, NeurIPS 2021 [PDF]
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Discovering Non-monotonic Autoregressive Orderings with Variational Inference, ICLR 2021 [PDF]
Blog Posts
- Diffusion Language Models, [URL]
Talks
- Bit Diffusion: Generating Discrete Data using Diffusion Models, [URL]