Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

14 December 2021

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

50 / 74 papers shown

Title
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 45 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 88 1 0 04 May 2025
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 77 0 0 30 Apr 2025
Generalization through variance: how noise shapes inductive biases in diffusion models John J. Vastola DiffM 164 2 0 16 Apr 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening Ye Tian L. Yang Xinchen Zhang Yunhai Tong Mengdi Wang Bin Cui 67 1 0 17 Feb 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 62 2 0 03 Jan 2025
Score-Based Metropolis-Hastings Algorithms Ahmed Aloui Ali Hasan Juncheng Dong Zihao Wu Vahid Tarokh DiffM 41 0 0 31 Dec 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 39 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 47 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 53 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 31 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 40 4 0 25 May 2024
LatentColorization: Latent Diffusion-Based Speaker Video Colorization Rory Ward Dan Bigioi Shubhajit Basak John G. Breslin Peter Corcoran VGen DiffM 27 2 0 09 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 54 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 106 1,071 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 44 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
DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh Jiaming Song Guilin Liu Jan Kautz Arash Vahdat 34 66 0 04 Dec 2023
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 44 3 0 23 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 0 28 Oct 2023
Efficient Integrators for Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 21 10 0 11 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler Xiyu Wang Anh-Dung Dinh Daochang Liu Chang Xu 29 4 0 23 Aug 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 48 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 36 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 30 22 0 23 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 39 8 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 91 1,013 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 34 15 0 31 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 28 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 30 21 0 14 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 38 4 0 13 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 20 109 0 02 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 42 79 0 30 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 43 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 28 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 44 85 0 28 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 30 15 0 25 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 32 125 0 03 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 26 803 0 02 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 31 0 0 30 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 58 485 0 12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 33 0 10 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 60 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 187 64 0 30 Sep 2022