Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

14 December 2021

Papers citing "Score-Based Generative Modeling with Critically-Damped Langevin Diffusion"

50 / 58 papers shown

Title
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 41 0 0 08 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective Qian Zeng Jie Song Yuanyu Wan Huiqiong Wang Mingli Song DiffM MQ 76 1 0 04 May 2025
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 68 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 92 1 0 16 Apr 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 70 0 0 25 Feb 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 54 2 0 03 Jan 2025
Score-Based Metropolis-Hastings Algorithms Ahmed Aloui Ali Hasan Juncheng Dong Zihao Wu Vahid Tarokh DiffM 34 0 0 31 Dec 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 30 1 0 08 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 42 1 0 04 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 35 0 0 02 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 16 0 06 Aug 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 24 0 0 04 Jul 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 3 0 25 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 46 6 0 15 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 74 1,058 0 05 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Contextualized Diffusion Models for Text-Guided Image and Video Generation Ling Yang Zhilong Zhang Zhaochen Yu Jingwei Liu Minkai Xu Stefano Ermon Bin Cui 36 4 0 26 Feb 2024
Towards Fast Stochastic Sampling in Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 25 0 0 11 Feb 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 29 3 0 23 Nov 2023
Efficient Integrators for Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 21 10 0 11 Oct 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler Xiyu Wang Anh-Dung Dinh Daochang Liu Chang Xu 19 4 0 23 Aug 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 33 2 0 20 Jul 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation Minghui Hu Jianbin Zheng Daqing Liu Chuanxia Zheng Chaoyue Wang Dacheng Tao Tat-Jen Cham DiffM 25 9 0 01 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 12 19 0 24 May 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models Martin Gonzalez N. Fernández T. Tran Elies Gherbi H. Hajri N. Masmoudi DiffM 27 22 0 23 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 31 7 0 08 May 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models A. Blattmann Robin Rombach Huan Ling Tim Dockhorn Seung Wook Kim Sanja Fidler Karsten Kreis 3DGS VGen 37 1,010 0 18 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 15 9 0 03 Mar 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 19 21 0 14 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 30 4 0 13 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 24 79 0 30 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 30 12 0 27 Jan 2023
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density Curtis McDonald Andrew R. Barron DiffM 11 3 0 06 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 19 84 0 28 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 21 0 0 30 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 38 104 0 11 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 59 0 07 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 176 63 0 30 Sep 2022
Face Super-Resolution Using Stochastic Differential Equations Marcelo dos Santos Rayson Laroca Rafael O. Ribeiro João Neves Hugo Proencca David Menotti DiffM 21 11 0 24 Sep 2022
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools Brian DeCann K. Trapeznikov CVBM 19 2 0 24 Aug 2022
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 22 42 0 16 Aug 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 28 77 0 17 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 22 80 0 16 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 13 72 0 15 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 16 125 0 13 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 34 111 0 11 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 22 70 0 02 Jun 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 183 134 0 30 May 2022