Minimizing Trajectory Curvature of ODE-based Generative Models

27 January 2023

Papers citing "Minimizing Trajectory Curvature of ODE-based Generative Models"

50 / 56 papers shown

Title
Autoregressive Distillation of Diffusion Transformers Yeongmin Kim Sotiris Anagnostidis Yuming Du Edgar Schönfeld Jonas Kohler Markos Georgopoulos Albert Pumarola Ali K. Thabet A. Sanakoyeu 28 0 0 15 Apr 2025
Learning Straight Flows by Learning Curved Interpolants Shiv Shankar Tomas Geffner 74 0 0 26 Mar 2025
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation Ho Kei Cheng Alexander Schwing OT 72 0 0 13 Mar 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens Ju He Qihang Yu Qihao Liu Liang-Chieh Chen 68 0 0 13 Mar 2025
ProReflow: Progressive Reflow with Decomposed Velocity Lei Ke Haohang Xu Xuefei Ning Yongqian Li Jiajun Li Haoling Li Yuxuan Lin Dongsheng Jiang Yuqing Yang Linfeng Zhang DiffM 62 1 0 05 Mar 2025
Training Consistency Models with Variational Noise Coupling Gianluigi Silvestri L. Ambrogioni Chieh-Hsin Lai Yuhta Takida Yuki Mitsufuji 90 1 0 25 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 62 3 0 03 Feb 2025
Block Flow: Learning Straight Flow on Data Blocks Zibin Wang Zhiyuan Ouyang Xiangyun Zhang 36 0 0 20 Jan 2025
AdaDiff: Adaptive Step Selection for Fast Diffusion Models Hui Zhang Zuxuan Wu Zhen Xing Jie Shao Yu-Gang Jiang 51 9 0 31 Dec 2024
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer Shitong Shao Zikai Zhou Tian Ye Lichen Bai Zhiqiang Xu Zeke Xie DiffM 49 0 0 16 Nov 2024
SF-Speech: Straightened Flow for Zero-Shot Voice Clone Xuyuan Li Zengqiang Shang Hua Hua Peiyang Shi Chen Yang Li Wang Pengyuan Zhang 45 2 0 16 Oct 2024
Path-minimizing Latent ODEs for improved extrapolation and inference Matt L. Sampson Peter Melchior BDL 28 0 0 11 Oct 2024
Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim Yu-Guan Hsieh Michal Klein Marco Cuturi Jong Chul Ye Bahjat Kawar James Thornton VLM 33 7 0 10 Oct 2024
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Fu-Yun Wang Ling Yang Zhaoyang Huang Mengdi Wang Hongsheng Li 34 14 0 09 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 34 0 0 26 Sep 2024
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models Hojat Asgariandehkordi Sobhan Goudarzi Mostafa Sharifzadeh Adrian Basarab H. Rivaz MedIm DiffM 25 3 0 20 Aug 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency Ling Yang Zixiang Zhang Zhilong Zhang Xingchao Liu Minkai Xu Wentao Zhang Chenlin Meng Stefano Ermon Bin Cui 44 18 0 02 Jul 2024
Soft Masked Mamba Diffusion Model for CT to MRI Conversion Zhenbin Wang Lei Zhang Lituan Wang Zhenwei Zhang Mamba MedIm 46 6 0 22 Jun 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment Yiheng Li Heyang Jiang Akio Kodaira M. Tomizuka Kurt Keutzer Chenfeng Xu DiffM 39 7 0 18 Jun 2024
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models Hyungjin Chung Jeongsol Kim Geon Yeong Park Hyelin Nam Jong Chul Ye DiffM 34 26 0 12 Jun 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 41 19 0 30 May 2024
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data Eloi Moliner Sebastian Braun H. Gamper OT 47 2 0 29 May 2024
Switched Flow Matching: Eliminating Singularities via Switching ODEs Qunxi Zhu Wei Lin 38 1 0 19 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 42 41 0 13 May 2024
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation Jonas Kohler Albert Pumarola Edgar Schönfeld A. Sanakoyeu Roshan Sumbaly Peter Vajda Ali K. Thabet 29 21 0 08 May 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 34 7 0 19 Apr 2024
Neural Shrödinger Bridge Matching for Pansharpening Zihan Cao Xiao Wu Liang-Jian Deng DiffM 58 2 0 17 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model Vincent Tao Hu S. A. Baumann Ming Gui Olga Grebenkova Pingchuan Ma Johannes S. Fischer Bjorn Ommer 42 42 0 20 Mar 2024
DepthFM: Fast Monocular Depth Estimation with Flow Matching Ming Gui Johannes S. Fischer Ulrich Prestel Pingchuan Ma Dmytro Kotovenko Olga Grebenkova S. A. Baumann Vincent Tao Hu Bjorn Ommer MDE 36 52 0 20 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 97 1,071 0 05 Mar 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 29 0 0 09 Feb 2024
Precise Knowledge Transfer via Flow Matching Shitong Shao Zhiqiang Shen Linrui Gong Huanran Chen Xu Dai 32 2 0 03 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 38 165 0 16 Jan 2024
Diffusion Models With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 34 8 0 20 Dec 2023
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 30 12 0 19 Dec 2023
Latent Space Editing in Transformer-Based Flow Matching Vincent Tao Hu David W. Zhang Pascal Mettes Meng Tang Deli Zhao Cees G. M. Snoek 50 29 0 17 Dec 2023
Guided Diffusion from Self-Supervised Diffusion Features Vincent Tao Hu Yunlu Chen Mathilde Caron Yuki M. Asano Cees G. M. Snoek Bjorn Ommer 35 11 0 14 Dec 2023
Boosting Latent Diffusion with Flow Matching Johannes S. Fischer Ming Gui Pingchuan Ma Nick Stracke S. A. Baumann Bjorn Ommer 22 20 0 12 Dec 2023
Exploring Straighter Trajectories of Flow Matching with Diffusion Guidance Siyu Xing Jie Cao Huaibo Huang Xiao-Yu Zhang Ran He 32 3 0 28 Nov 2023
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement Jinhui Hou Zhiyu Zhu Junhui Hou Hui Liu Huanqiang Zeng Hui Yuan 42 75 0 26 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 24 6 0 12 Oct 2023
Stochastic interpolants with data-dependent couplings M. S. Albergo Mark Goldstein Nicholas M. Boffi Rajesh Ranganath Eric Vanden-Eijnden OT 30 29 0 05 Oct 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan G. A. Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 28 2 0 31 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 37 60 0 17 Jul 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
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 126 0 28 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 52 33 0 09 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 257 262 0 15 Mar 2023