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We derive a minimalist but powerful deterministic denoising-diffusion model.
Compositing Digital Images
Thomas Porter and Tom Duff. 1984 · 1984
Earlier work this paper cites.
A Connection Between Score Matching and Denoising Autoencoders
Pascal Vincent. 2011 · 2011
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon. 2019 · 2019
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Earlier work this paper cites.
Analyzing and Improving the Image Quality of StyleGAN. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 8107–8116
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
Earlier work this paper cites.
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro. 2020 · 2020
Earlier work this paper cites.
Improved Techniques for Training Score-Based Generative Models
Yang Song and Stefano Ermon. 2020 · 2020
Earlier work this paper cites.
Heavy-tailed denoising score matching
Jacob Deasy, Nikola Simidjievski, and Pietro Liò. 2021 · 2021
Earlier work this paper cites.
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alexander Quinn Nichol. 2021 · 2021
Cited alongside, same era.
Alias-Free Generative Adversarial Networks. In Proc. NeurIPS
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2021 · 2021
Cited alongside, same era.
Sdedit: Image synthesis and editing with stochastic differential equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2021 · 2021
Cited alongside, same era.
Denoising Diffusion Gamma Models
Eliya Nachmani, Robin San Roman, and Lior Wolf. 2021 · 2021
Cited alongside, same era.
Improved Denoising Diffusion Probabilistic Models. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) . 8162–8171
Alexander Quinn Nichol and Prafulla Dhariwal. 2021 · 2021
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J. Fleet. 2022 · 2022
Later among the works it cites.
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine. 2022 · 2022
Later among the works it cites.
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song. 2022 · 2022
Later among the works it cites.
Non-Denoising Forward-Time Diffusions
Stefano Peluchetti. 2022 · 2022
Later among the works it cites.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
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High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2021 · 2021
Cited alongside, same era.
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, and Mohammad Norouzi. 2021 · 2021
Cited alongside, same era.
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2021a · 2021
Cited alongside, same era.
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole. 2021b · 2021
Cited alongside, same era.
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi. 2022b
Cited in the paper.
Palette: Image-to-Image Diffusion Models. In ACM SIGGRAPH 2022 Conference Proceedings . Article 15, 10 pages
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi. 2022a · 2022
Later among the works it cites.
Progressive Distillation for Fast Sampling of Diffusion Models. In International Conference on Learning Representations
Tim Salimans and Jonathan Ho. 2022 · 2022
Later among the works it cites.
Deblurring via stochastic refinement. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16293–16303
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G Dimakis, and Peyman Milanfar. 2022 · 2022
Later among the works it cites.
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
Min Zhao, Fan Bao, Chongxuan Li, and Jun Zhu. 2022 · 2022
Later among the works it cites.