Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

7 September 2022

Papers citing "Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow"

27 / 227 papers shown

Title
Matcha-TTS: A fast TTS architecture with conditional flow matching Shivam Mehta Ruibo Tu Jonas Beskow Éva Székely G. Henter 24 69 0 06 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 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
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 37 60 0 17 Jul 2023
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection Yuguang Shi DiffM 40 0 0 05 Jul 2023
High-Fidelity Image Compression with Score-based Generative Models Emiel Hoogeboom E. Agustsson Fabian Mentzer Luca Versari G. Toderici Lucas Theis DiffM 21 38 0 26 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 28 31 0 26 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 24 17 0 18 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 52 33 0 09 Apr 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling Stefano Peluchetti OT DiffM 19 48 0 03 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 56 66 0 29 Mar 2023
Unlimited-Size Diffusion Restoration Yinhuai Wang Jiwen Yu Runyi Yu Jian Zhang 48 15 0 01 Mar 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 27 67 0 07 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 32 12 0 31 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 46 53 0 27 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 29 7 0 22 Dec 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 52 0 20 Nov 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 777 0 27 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 195 92 0 25 May 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 176 285 0 23 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 490 0 01 Feb 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 132 89 0 28 Jan 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 164 0 21 Oct 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 258 0 07 Jan 2021
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,450 0 21 Nov 2016