Improving the Training of Rectified Flows

30 May 2024

Papers citing "Improving the Training of Rectified Flows"

50 / 50 papers shown

Title
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis Onkar Susladkar Gayatri Deshmukh Yalcin Tur Gorkhem Durak Ulas Bagci MedIm 173 0 0 08 May 2025
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 244 1,279 0 05 Mar 2024
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 157 261 0 30 Nov 2023
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 53 27 0 30 Nov 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 46 26 0 29 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 68 173 0 22 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 70 189 0 01 Oct 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 54 22 0 25 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 139 218 0 12 Sep 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping Jiatao Gu Shuangfei Zhai Yizhe Zhang Lingjie Liu J. Susskind DiffM 51 73 0 08 Jun 2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust Yuxin Wen John Kirchenbauer Jonas Geiping Tom Goldstein WIGM 78 112 0 31 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 64 129 0 29 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 75 144 0 28 Apr 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 68 90 0 07 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 97 946 0 02 Mar 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 83 60 0 27 Jan 2023
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 90 144 0 24 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations Bram Wallace Akash Gokul Nikhil Naik DiffM 48 182 0 22 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models Ron Mokady Amir Hertz Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 79 537 0 17 Nov 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance Guillaume Couairon Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 124 498 0 20 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 174 1,274 0 06 Oct 2022
Rectified Flow: A Marginal Preserving Approach to Optimal Transport Qiang Liu OT 155 101 0 29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 166 988 0 07 Sep 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 148 1,756 0 02 Aug 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 174 1,403 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 156 1,952 0 01 Jun 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 48 431 0 29 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 339 6,830 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 163 1,597 0 07 Apr 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 77 182 0 11 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 351 15,373 0 20 Dec 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 154 644 0 06 Oct 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 45 677 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 285 3,648 0 18 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 224 274 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 292 6,409 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 208 7,294 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 488 17,888 0 19 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 127 1,882 0 11 Jun 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 103 1,742 0 04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 260 5,797 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 213 3,870 0 12 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 237 5,381 0 28 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 341 5,081 0 19 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 327 11,734 0 11 Jan 2018
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 149 1,792 0 10 Oct 2017
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 143 2,415 0 12 Apr 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 255 6,887 0 12 Mar 2015