PFGM++: Unlocking the Potential of Physics-Inspired Generative Models

8 February 2023

Papers citing "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

50 / 50 papers shown

Title
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 122 0 0 28 Apr 2025
The Vendiscope: An Algorithmic Microscope For Data Collections Amey P. Pasarkar Adji Bousso Dieng 36 2 0 15 Feb 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov Manukhov Stepan Vladimir V. Palyulin Alexander Korotin 53 0 0 04 Feb 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 31 0 0 20 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 62 2 0 03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 56 0 0 03 Jan 2025
Hamiltonian Score Matching and Generative Flows Peter Holderrieth Yilun Xu Tommi Jaakkola 26 0 0 27 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 46 3 0 18 Oct 2024
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate Objects Oliverio Theophilus Nathanael Jonathan Samuel Lumentut Nicholas Hans Muliawan Edbert Valencio Angky Felix Indra Kurniadi Alfi Yusrotis Zakiyyah Jeklin Harefa DiffM 28 0 0 18 Oct 2024
INR-Based Generative Steganography by Point Cloud Representation Zhong Yangjie Liu Jia Liu Meiqi Ke Yan Zhang Minqing DiffM 3DPC 18 0 0 15 Oct 2024
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models Deepak Sridhar Nuno Vasconcelos DiffM 33 0 0 25 Sep 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 26 5 0 26 Aug 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 36 0 0 21 Jul 2024
Physics-Inspired Generative Models in Medical Imaging: A Review Dennis Hein Afshin Bozorgpour Dorit Merhof Ge Wang DiffM MedIm AI4CE 33 0 0 15 Jul 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu Gabriele Corso Tommi Jaakkola Arash Vahdat Karsten Kreis 29 12 0 03 Jul 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 35 24 0 20 Jun 2024
Image steganography based on generative implicit neural representation Zhong Yangjie Liu Jia Ke Yan Liu Meiqi DiffM GAN 38 0 0 04 Jun 2024
Diffusion Rejection Sampling Byeonghu Na Yeongmin Kim Minsang Park DongHyeok Shin Wanmo Kang Il-Chul Moon 38 2 0 28 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 31 37 0 29 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 35 13 0 14 Apr 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 35 2 0 08 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 32 3 0 01 Mar 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Bin Cui 23 10 0 27 Feb 2024
PFCM: Poisson flow consistency models for low-dose CT image denoising Dennis Hein Adam Wang Ge Wang Ge Wang DiffM 37 1 0 13 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 41 1 0 08 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 19 3 0 06 Feb 2024
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians Catherine F. Higham Des J. Higham P. Grindrod DiffM VLM 21 3 0 21 Dec 2023
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability Jaehui Hwang Junghyuk Lee Jong-Seok Lee EGVM 19 2 0 17 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 26 16 0 16 Dec 2023
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models Dennis Hein Staffan Holmin Timothy Szczykutowicz Jonathan S. Maltz Mats Danielsson Ge Wang Mats U. Persson DiffM MedIm 14 7 0 15 Dec 2023
Compensation Sampling for Improved Convergence in Diffusion Models Hui Lu A. A. Salah Ronald Poppe 24 1 0 11 Dec 2023
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models Gabriele Corso Yilun Xu Valentin De Bortoli Regina Barzilay Tommi Jaakkola DiffM 19 20 0 19 Oct 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning Amey P. Pasarkar Adji Bousso Dieng 25 11 0 19 Oct 2023
Generative artificial intelligence for de novo protein design Adam Winnifrith C. Outeiral Brian L. Hie AI4CE 24 23 0 15 Oct 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 18 1 0 28 Sep 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 109 35 0 29 Aug 2023
Restart Sampling for Improving Generative Processes Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu Tommi Jaakkola DiffM VLM 26 46 0 26 Jun 2023
Latent Dynamical Implicit Diffusion Processes Mohammadreza Rezaei DiffM 36 1 0 12 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G. Stein Jesse C. Cresswell Rasa Hosseinzadeh Yi Sui Brendan Leigh Ross Valentin Villecroze Zhaoyan Liu Anthony L. Caterini J. E. T. Taylor G. Loaiza-Ganem EGVM 30 95 0 07 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 26 55 0 03 Jun 2023
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection Daegyu Kim Chaehun Shin Jooyoung Choi Dahuin Jung Sung-Hoon Yoon DiffM 8 10 0 30 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 29 26 0 06 May 2023
GenPhys: From Physical Processes to Generative Models Ziming Liu Di Luo Yilun Xu Tommi Jaakkola M. Tegmark AI4CE 14 14 0 05 Apr 2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space Chuqi Chen Yue Wu Yang Xiang 11 1 0 19 Mar 2023
Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later Binxu Wang John J. Vastola DiffM 93 19 0 04 Mar 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 15 26 0 01 Feb 2023
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 0 07 Oct 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 89 80 0 22 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 206 0 06 Sep 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,348 0 12 Dec 2018