$$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models$

$\textit{Jump Your Steps}$ : Optimizing Sampling Schedule of Discrete Diffusion Models

10 October 2024

Satoshi Hayakawa

Papers citing "$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models"

19 / 19 papers shown

Title
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 167 102 0 17 Jan 2025
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 95 3 0 11 Oct 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 90 15 0 30 Jul 2024
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 98 88 0 20 Oct 2023
Restart Sampling for Improving Generative Processes Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu Tommi Jaakkola DiffM VLM 69 54 0 26 Jun 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 93 2,301 0 19 Dec 2022
Score-based Continuous-time Discrete Diffusion Models Haoran Sun Lijun Yu Bo Dai Dale Schuurmans H. Dai DiffM 96 85 0 30 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 82 111 0 11 Oct 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 208 1,427 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 195 1,981 0 01 Jun 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 97 647 0 20 Feb 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 153 678 0 08 Feb 2022
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 170 941 0 07 Jul 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 82 224 0 28 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 293 423 0 10 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment Hao-Wen Dong Wen-Yi Hsiao Li-Chia Yang Yi-Hsuan Yang MGen GAN 126 546 0 19 Sep 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015