Flow Generator Matching

25 October 2024

Papers citing "Flow Generator Matching"

24 / 24 papers shown

Title
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation Daniil Selikhanovych David Li Aleksei Leonov Nikita Gushchin Sergei Kushneriuk Alexander N. Filippov Evgeny Burnaev Iaroslav Koshelev Alexander Korotin DiffM 102 0 0 17 Mar 2025
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences Weijian Luo EGVM 53 7 0 24 Oct 2024
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images Yifei Wang Weimin Bai Weijian Luo Wenzheng Chen He Sun DiffM 30 9 0 15 Jul 2024
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin Michael Gharbi Taesung Park Richard Zhang Eli Shechtman Frédo Durand William T. Freeman DiffM 82 112 0 23 May 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis Yuxi Ren Xin Xia Yanzuo Lu Jiacheng Zhang Jie Wu Pan Xie Xing Wang Xuefeng Xiao 91 71 0 21 Apr 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation Hongjian Liu Qingsong Xie Zhijie Deng Chen Chen Shixiang Tang Fueyang Fu Zheng-Jun Zha H. Lu Zheng-jun Zha 65 6 0 03 Mar 2024
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong Liu 54 5 0 30 Nov 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 52 11 0 08 Jun 2023
DiffEdit: Diffusion-based semantic image editing with mask guidance Guillaume Couairon Jakob Verbeek Holger Schwenk Matthieu Cord DiffM 119 490 0 20 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 118 960 0 07 Sep 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 300 6,768 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 145 1,563 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 67 181 0 11 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 227 506 0 01 Feb 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 67 545 0 15 Dec 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 329 4,873 0 24 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 210 3,621 0 18 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 214 263 0 07 Jan 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 339 17,550 0 19 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 124 1,873 0 11 Jun 2020
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 82 861 0 02 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 225 3,110 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 251 5,024 0 19 Jun 2018
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 322 7,361 0 12 Sep 2016