FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation

9 October 2022

Papers citing "FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation"

22 / 22 papers shown

Title
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi Hatice Gunes Ali Etemad 23 0 0 21 Apr 2025
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion Bac Nguyen and Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Stefano Ermon Yuki Mitsufuji 61 0 0 18 Oct 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Ayano Hiranaka Shang-Fu Chen Chieh-Hsin Lai Dongjun Kim Naoki Murata Takashi Shibuya Wei-Hsiang Liao Shao-Hua Sun Yuki Mitsufuji 47 1 0 07 Oct 2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space Yangming Li Chieh-Hsin Lai Carola-Bibiane Schönlieb Yuki Mitsufuji Stefano Ermon DiffM 38 0 0 02 Oct 2024
Reward-Directed Score-Based Diffusion Models via q-Learning Xuefeng Gao Jiale Zha X. Zhou DiffM 26 2 0 07 Sep 2024
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 46 4 0 10 Jul 2024
Operator-informed score matching for Markov diffusion models Zheyang Shen Chris J. Oates DiffM 54 0 0 13 Jun 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 38 2 0 28 May 2024
Neural Shrödinger Bridge Matching for Pansharpening Zihan Cao Xiao Wu Liang-Jian Deng DiffM 53 2 0 17 Apr 2024
Efficient Denoising using Score Embedding in Score-based Diffusion Models Andrew S. Na William Gao Justin W.L. Wan DiffM 22 0 0 10 Apr 2024
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Giannis Daras Alexandros G. Dimakis Constantinos Daskalakis 36 20 0 20 Mar 2024
Understanding Diffusion Models by Feynman's Path Integral Yuji Hirono A. Tanaka Kenji Fukushima DiffM 33 6 0 17 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 27 19 0 02 Mar 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 30 8 0 09 Feb 2024
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale Candi Zheng Yuan Lan DiffM 23 4 0 11 Dec 2023
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation Teo Deveney Jan Stanczuk L. Kreusser Chris Budd Carola-Bibiane Schönlieb DiffM 17 5 0 27 Nov 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 32 170 0 01 Oct 2023
Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overview Eleonora Grassucci Yuki Mitsufuji Ping Zhang Danilo Comminiello 25 3 0 05 Sep 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations Yu Cao Jingrun Chen Yixin Luo Xiaoping Zhou DiffM 8 7 0 03 Jun 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration Naoki Murata Koichi Saito Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Yuki Mitsufuji Stefano Ermon DiffM 56 49 0 30 Jan 2023
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability K. Cheuk Ryosuke Sawata Toshimitsu Uesaka Naoki Murata Naoya Takahashi Shusuke Takahashi Dorien Herremans Yuki Mitsufuji DiffM 45 16 0 11 Oct 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 777 0 27 Jan 2022