v1v2 (latest)

Flow Matching for Generative Modeling

6 October 2022

Papers citing "Flow Matching for Generative Modeling"

38 / 438 papers shown

Title
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 183 18 0 24 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame Chen Liu DiffM 158 5 0 23 May 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers Peng Gao Le Zhuo Ziyi Lin Ruoyi Du Xu Luo ... Weicai Ye He Tong Jingwen He Yu Qiao Hongsheng Li VGen 103 91 0 09 May 2024
Binary Hypothesis Testing for Softmax Models and Leverage Score Models Yeqi Gao Yuzhou Gu Zhao Song 75 0 0 09 May 2024
Video Diffusion Models: A Survey Andrew Melnik Michal Ljubljanac Cong Lu Qi Yan Weiming Ren Helge J. Ritter VGen 145 16 0 06 May 2024
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion Dohoon Lee Jaehyun Park Hyunwoo J. Kim Kyogu Lee 65 0 0 22 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 133 16 0 19 Apr 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations Leying Zhang Yao Qian Long Zhou Shujie Liu Dongmei Wang ... Yanmin Qian Jinyu Li Lei He Sheng Zhao Michael Zeng 70 2 0 10 Apr 2024
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes Raza Yunus J. E. Lenssen Michael Niemeyer Yiyi Liao Christian Rupprecht Christian Theobalt Gerard Pons-Moll Jia-Bin Huang Vladislav Golyanik Eddy Ilg 138 26 0 22 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 130 2 0 05 Mar 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 112 58 0 09 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 138 16 0 28 Jan 2024
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Guohao Li Pablo Arbelaez Ali K. Thabet 111 13 0 19 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 109 12 0 30 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 56 0 0 23 Nov 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 106 24 0 25 Sep 2023
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective Davide Ghio Yatin Dandi Florent Krzakala Lenka Zdeborová DiffM 69 29 0 27 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 72 8 0 04 Aug 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 120 75 0 17 Jul 2023
Fast Diffusion Model Zike Wu Pan Zhou Kenji Kawaguchi Hanwang Zhang DiffM 92 22 0 12 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 183 56 0 07 Jun 2023
Functional Flow Matching Gavin Kerrigan Giosue Migliorini Padhraic Smyth 98 18 0 26 May 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 89 60 0 26 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 173 5 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 111 136 0 18 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 129 34 0 06 May 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 128 87 0 29 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction Weiyang Jin Yongpei Zhu Yuxi Peng DiffM 46 0 0 14 Mar 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 73 2 0 14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 114 7 0 10 Mar 2023
Streaming Kernel PCA Algorithm With Small Space Yichuan Deng Zhao Song Zifan Wang Hangke Zhang 114 4 0 08 Mar 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 109 14 0 10 Feb 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 156 85 0 07 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 145 60 0 27 Jan 2023
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers Chengyi Wang Sanyuan Chen Yu-Huan Wu Zi-Hua Zhang Long Zhou ... Huaming Wang Jinyu Li Lei He Sheng Zhao Furu Wei 193 727 0 05 Jan 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 107 30 0 29 Dec 2022
Fast Point Cloud Generation with Straight Flows Lemeng Wu Dilin Wang Chengyue Gong Xingchao Liu Yunyang Xiong Rakesh Ranjan Raghuraman Krishnamoorthi Vikas Chandra Qiang Liu 135 44 0 04 Dec 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 136 54 0 20 Nov 2022