Diffusion on the Probability Simplex

Generative adversarial nets

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Original

Ronneberger, O., Fischer, P., and Brox, T · 2015

Earlier work this paper cites.

Deep unsupervised learning using nonequilibrium thermodynamics, 2015

Sohl-Dickstein, J., Weiss, E. A., Maheswaranathan, N., and Ganguli, S · 2015

Earlier work this paper cites.

Neural ordinary differential equations

Chen, R. T. Q., Rubanova, Y., Bettencourt, J., and Duvenaud, D. K · 2018

Earlier work this paper cites.

Generative modeling by estimating gradients of the data distribution

Song, Y. and Ermon, S · 2019

Earlier work this paper cites.

Denoising diffusion probabilistic models

Ho, J., Jain, A., and Abbeel, P · 2020

Cited alongside, same era.

Diffusion models beat gans on image synthesis, 2021

Dhariwal, P. and Nichol, A · 2021

Cited alongside, same era.

Diff-tts: A denoising diffusion model for text-to-speech, 2021

Jeong, M., Kim, H., Cheon, S. J., Choi, B. J., and Kim, N. S · 2021

Cited alongside, same era.

Score-based generative modeling through stochastic differential equations, 2021

Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2021

Cited alongside, same era.

Categorical sdes with simplex diffusion, 2022

Richemond, P. H., Dieleman, S., and Doucet, A · 2022

Later among the works it cites.

Make-a-video: Text-to-video generation without text-video data, 2022

Singer, U., Polyak, A., Hayes, T., Yin, X., An, J., Zhang, S., Hu, Q., Yang, H., Ashual, O., Gafni, O., Parikh, D., Gupta, S., and Taigman, Y · 2022

Later among the works it cites.

Reflected diffusion models, 2023

Lou, A. and Ermon, S · 2023

Closest in time.

Diffusion models: A comprehensive survey of methods and applications, 2023

Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., and Yang, M.-H · 2023

Closest in time.