Let us Build Bridges: Understanding and Extending Diffusion Generative Models

31 August 2022

Papers citing "Let us Build Bridges: Understanding and Extending Diffusion Generative Models"

50 / 62 papers shown

Title
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients Stefano Bruno Sotirios Sabanis DiffM 39 0 0 06 May 2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models Hao Ren Yiming Zeng Zetong Bi Zhaoliang Wan Junlong Huang Hui Cheng 72 1 0 14 Apr 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 20 1 0 07 Apr 2025
LBM: Latent Bridge Matching for Fast Image-to-Image Translation Clement Chadebec O. Tasar Sanjeev Sreetharan Benjamin Aubin 37 0 0 10 Mar 2025
End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler Denis Blessing Xiaogang Jia Gerhard Neumann DiffM 43 0 0 01 Mar 2025
DPBridge: Latent Diffusion Bridge for Dense Prediction Haorui Ji Taojun Lin Hongdong Li DiffM 46 1 0 29 Dec 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling Yuanqi Du Michael Plainer Rob Brekelmans Chenru Duan Frank Noé Carla P. Gomes Alán Aspuru-Guzik Kirill Neklyudov 37 9 0 10 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration Zhiyu Zhu Jinhui Hou Hui Liu Huanqiang Zeng Junhui Hou 35 0 0 07 Oct 2024
$Diffusion & Adversarial Schr\"odinger Bridges via Iterative Proportional Markovian Fitting$ Diffusion & Adversarial Schr\"odinger Bridges via Iterative Proportional Markovian Fitting Sergei Kholkin Grigoriy Ksenofontov David Li Nikita Kornilov Nikita Gushchin Alexandra Suvorikova Alexey Kroshnin Evgeny Burnaev Alexander Korotin 29 2 0 03 Oct 2024
$BM$^2$: Coupled Schr\"{o}dinger Bridge Matching$ BM $^2$ : Coupled Schr\"{o}dinger Bridge Matching Stefano Peluchetti OT 26 0 0 14 Sep 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 33 21 0 05 Aug 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review Masatoshi Uehara Yulai Zhao Tommaso Biancalani Sergey Levine 54 21 0 18 Jul 2024
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow Yuanzhi Zhu Xingchao Liu Qiang Liu 41 9 0 17 Jul 2024
Feynman-Kac Operator Expectation Estimator Jingyuan Li Wei Liu 30 0 0 02 Jul 2024
Provable Statistical Rates for Consistency Diffusion Models Zehao Dou Minshuo Chen Mengdi Wang Zhuoran Yang DiffM 22 3 0 23 Jun 2024
Flow Map Matching Nicholas M. Boffi M. S. Albergo Eric Vanden-Eijnden 27 4 0 11 Jun 2024
Adversarial Schrödinger Bridge Matching Nikita Gushchin Daniil Selikhanovych Sergei Kholkin Evgeny Burnaev Alexander Korotin OT DiffM 24 1 0 23 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 31 11 0 29 Apr 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo Hui Yuan Yukang Yang Minshuo Chen Mengdi Wang 20 20 0 23 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 32 48 0 11 Apr 2024
Cryptographic Hardness of Score Estimation Min Jae Song 14 0 0 04 Apr 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 51 29 0 06 Mar 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models Yuchen Wu Minshuo Chen Zihao Li Mengdi Wang Yuting Wei 27 23 0 03 Mar 2024
Critical windows: non-asymptotic theory for feature emergence in diffusion models Marvin Li Sitan Chen DiffM 29 11 0 03 Mar 2024
Feedback Efficient Online Fine-Tuning of Diffusion Models Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Sergey Levine Tommaso Biancalani 22 21 0 26 Feb 2024
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control Masatoshi Uehara Yulai Zhao Kevin Black Ehsan Hajiramezanali Gabriele Scalia N. Diamant Alex Tseng Tommaso Biancalani Sergey Levine 29 42 0 23 Feb 2024
Target Score Matching Valentin De Bortoli M. Hutchinson Peter Wirnsberger Arnaud Doucet DiffM 33 17 0 13 Feb 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 61 16 0 12 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 27 163 0 16 Jan 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models Namjoon Suh Guang Cheng MedIm 20 11 0 14 Jan 2024
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 27 4 0 22 Nov 2023
Augmented Bridge Matching Valentin De Bortoli Guan-Horng Liu Tianrong Chen Evangelos A. Theodorou Weilie Nie 46 10 0 12 Nov 2023
A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle Christoph Petroll Sebastian Eilermann Philipp Hoefer Oliver Niggemann 13 1 0 06 Nov 2023
Generative Modeling with Phase Stochastic Bridges Tianrong Chen Jiatao Gu Laurent Dinh Evangelos A. Theodorou J. Susskind Shuangfei Zhai DiffM 25 13 0 11 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 27 9 0 11 Oct 2023
Denoising Diffusion Bridge Models Linqi Zhou Aaron Lou Samar Khanna Stefano Ermon DiffM 30 61 0 29 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 21 26 0 20 Sep 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 14 101 0 07 Aug 2023
Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah Sitan Chen Adam R. Klivans DiffM 26 37 0 03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 40 3 0 03 Jul 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 19 10 0 25 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 13 57 0 15 Jun 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 13 24 0 27 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 15 31 0 26 May 2023
The probability flow ODE is provably fast Sitan Chen Sinho Chewi Holden Lee Yuanzhi Li Jianfeng Lu Adil Salim DiffM 20 84 0 19 May 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild Can Qin Shu Zhen Zhang Ning Yu Yihao Feng Xinyi Yang ... Caiming Xiong Silvio Savarese Stefano Ermon Yun Fu Ran Xu 10 117 0 18 May 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 49 65 0 29 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 261 0 15 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers Sitan Chen Giannis Daras A. Dimakis DiffM 13 62 0 06 Mar 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 6 90 0 14 Feb 2023