Learning to Jump: Thinning and Thickening Latent Counts for Generative
Modeling

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling

28 May 2023

Mingyuan Zhou

Papers citing "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling"

13 / 13 papers shown

Title
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model Sagnik Bhattacharya Abhiram Gorle Ahmed Mohsin Ahsan Bilal Connor Ding Amit Kumar Singh Yadav Tsachy Weissman DiffM 43 0 0 08 May 2025
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference Sebastian Salazar Michal Kucer Yixin Wang Emily Casleton David Blei DiffM 81 0 0 17 Dec 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 66 3 0 17 Sep 2024
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 55 105 0 12 Sep 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 175 132 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 166 768 0 27 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 485 0 01 Feb 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 256 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016