Flow Matching for Generative Modeling

6 October 2022

Papers citing "Flow Matching for Generative Modeling"

50 / 211 papers shown

Title
NETS: A Non-Equilibrium Transport Sampler M. S. Albergo Eric Vanden-Eijnden DiffM 43 7 0 03 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Ludke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 32 3 0 03 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 43 0 0 03 Oct 2024
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation T. Pham Tri Ton Chang D. Yoo 36 3 0 03 Oct 2024
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing Haotian Sun Tao Lei Bowen Zhang Yanghao Li Haoshuo Huang Ruoming Pang Bo Dai Nan Du DiffM MoE 73 5 0 02 Oct 2024
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Zhenyi Zhang Tiejun Li Peijie Zhou OT 141 5 0 01 Oct 2024
Simulation-based inference with the Python Package sbijax Simon Dirmeier S. Ulzega Antonietta Mira Carlo Albert 21 1 0 28 Sep 2024
FlowMAC: Conditional Flow Matching for Audio Coding at Low Bit Rates N. Pia Martin Strauss M. Multrus B. Edler 31 0 0 26 Sep 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 79 2 0 24 Sep 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Weifeng Lin Xinyu Wei Renrui Zhang Le Zhuo Shitian Zhao ... Junlin Xie Junlin Xie Yu Qiao Peng Gao Hongsheng Li MLLM DiffM 52 10 0 23 Sep 2024
AudioComposer: Towards Fine-grained Audio Generation with Natural Language Descriptions Y. Wang Hangting Chen Dongchao Yang Zhiyong Wu Xixin Wu DiffM 40 2 0 19 Sep 2024
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild Jee-weon Jung Yihan Wu Xin Wang Ji-Hoon Kim Soumi Maiti ... Joon Son Chung Wangyou Zhang Seyun Um Shinnosuke Takamichi Shinji Watanabe 60 1 0 18 Sep 2024
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think Gonzalo Martin Garcia Karim Abou Zeid Christian Schmidt Daan de Geus Alexander Hermans Bastian Leibe 37 23 0 17 Sep 2024
High-Resolution Speech Restoration with Latent Diffusion Model Tushar Dhyani Florian Lux Michele Mancusi Giorgio Fabbro Fritz Hohl Ngoc Thang Vu DiffM 30 0 0 17 Sep 2024
FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications Hao-Han Guo Kun Liu Fei-Yu Shen Yi-Chen Wu Xu Tang Kun Xie Kai-Tuo Xu Kun Xie Kai-Tuo Xu 42 20 0 05 Sep 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 89 0 0 28 Aug 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
Physics-Inspired Generative Models in Medical Imaging: A Review Dennis Hein Afshin Bozorgpour Dorit Merhof Ge Wang DiffM MedIm AI4CE 29 0 0 15 Jul 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 70 30 0 17 Jun 2024
LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation Wenhao Guan K. Wang Wangjin Zhou Yang Wang Feng Deng Hui Wang Lin Li Q. Hong Yong Qin DiffM 28 3 0 12 Jun 2024
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Chung-Ming Chien Andros Tjandra Apoorv Vyas Matt Le Bowen Shi Wei-Ning Hsu 32 0 0 10 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 34 4 0 06 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models Bálint Máté François Fleuret Tristan Bereau DiffM 28 2 0 04 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Hunter Nisonoff Junhao Xiong Stephan Allenspach Jennifer Listgarten 55 31 0 03 Jun 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 34 19 0 30 May 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation Guillaume Huguet James Vuckovic Kilian Fatras Eric Thibodeau-Laufer Pablo Lemos ... Jarrid Rector-Brooks Tara Akhound-Sadegh Michael M. Bronstein Alexander Tong A. Bose 32 26 0 30 May 2024
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data Eloi Moliner Sebastian Braun H. Gamper OT 36 2 0 29 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 72 6 0 29 May 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms L. Bogensperger Dominik Narnhofer Alexander Falk Konrad Schindler Thomas Pock MedIm 33 3 0 28 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 27 0 0 27 May 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 56 10 0 26 May 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
AdjointDEIS: Efficient Gradients for Diffusion Models Zander Blasingame Chen Liu DiffM 35 2 0 23 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan Xingchao Liu Jiachun Pan Jun Hao Liew Qiang Liu Jiashi Feng 32 40 0 13 May 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 28 8 0 03 May 2024
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis Shivam Mehta Anna Deichler Jim O'Regan Birger Moëll Jonas Beskow G. Henter Simon Alexanderson 34 4 0 30 Apr 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 32 2 0 08 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 Asymptotic Mean Square Error Optimality of Diffusion Models B. Fesl Benedikt Bock Florian Strasser Michael Baur M. Joham Wolfgang Utschick DiffM 31 0 0 05 Mar 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin Noam Elata T. Michaeli DiffM 35 1 0 15 Feb 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 32 41 0 09 Feb 2024
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 30 12 0 30 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 18 0 0 23 Nov 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 27 9 0 11 Oct 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 24 15 0 28 Sep 2023
Matcha-TTS: A fast TTS architecture with conditional flow matching Shivam Mehta Ruibo Tu Jonas Beskow Éva Székely G. Henter 16 69 0 06 Sep 2023
SE(3) Equivariant Augmented Coupling Flows Laurence I. Midgley Vincent Stimper Javier Antorán Emile Mathieu Bernhard Schölkopf José Miguel Hernández-Lobato 30 22 0 20 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 13 6 0 04 Aug 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 33 59 0 17 Jul 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 35 4 0 19 May 2023