Optimizing DDPM Sampling with Shortcut Fine-Tuning

31 January 2023

Papers citing "Optimizing DDPM Sampling with Shortcut Fine-Tuning"

43 / 43 papers shown

Title
Scaling Image and Video Generation via Test-Time Evolutionary Search Haoran He Jiajun Liang X. Wang Pengfei Wan Di Zhang Kun Gai Ling Pan DiffM 173 0 0 23 May 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 88 1 0 03 Feb 2025
AdaDiff: Adaptive Step Selection for Fast Diffusion Models Hui Zhang Zuxuan Wu Zhen Xing Jie Shao Yu-Gang Jiang 104 11 0 31 Dec 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Zhiwei Jia Yuesong Nan Huixi Zhao Gengdai Liu EGVM 133 1 0 22 Nov 2024
Learning to Discretize Denoising Diffusion ODEs Vinh Tong Hoang Trung-Dung Anji Liu Guy Van den Broeck Mathias Niepert DiffM 101 5 0 24 May 2024
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 121 13 0 28 Aug 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 36 5 0 19 Jan 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 43 52 0 13 Dec 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 64 76 0 15 Jun 2022
Diffusion-GAN: Training GANs with Diffusion Zhendong Wang Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 56 230 0 05 Jun 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 172 1,403 0 02 Jun 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 90 643 0 20 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 77 182 0 11 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 79 343 0 17 Jan 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 75 550 0 15 Dec 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 50 42 0 26 Aug 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 63 50 0 14 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 75 137 0 07 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 75 197 0 31 May 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 68 223 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 71 106 0 06 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 281 3,648 0 18 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 224 274 0 07 Jan 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 292 6,409 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 208 7,294 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 471 17,888 0 19 Jun 2020
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation Xueying Bai Jian Guan Hongning Wang OffRL 35 75 0 10 Nov 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 67 408 0 25 Jun 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion M. Sarmad H. J. Lee Y. Kim 3DPC 66 180 0 28 Apr 2019
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 61 95 0 29 May 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 107 720 0 04 May 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 73 1,464 0 13 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 114 1,487 0 04 Jan 2018
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 72 665 0 27 Jul 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang 71 599 0 30 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 721 0 24 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 169 9,533 0 31 Mar 2017
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 62 2,396 0 18 Sep 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 82 3,399 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 265 6,755 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014