Flow Matching for Generative Modeling

6 October 2022

Papers citing "Flow Matching for Generative Modeling"

50 / 211 papers shown

Title
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 52 2 0 13 Jan 2025
Multi-subject Open-set Personalization in Video Generation Tsai-Shien Chen Aliaksandr Siarohin Willi Menapace Yuwei Fang Kwot Sin Lee Ivan Skorokhodov Kfir Aberman Jun-Yan Zhu Ming Yang Sergey Tulyakov DiffM VGen 69 7 0 10 Jan 2025
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning Yuzhou Huang Ziyang Yuan Quande Liu Qiulin Wang Xintao Wang Ruimao Zhang Pengfei Wan Di Zhang Kun Gai VGen DiffM 35 10 0 08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 51 0 0 03 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 Jan 2025
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis Ho Kei Cheng Masato Ishii Akio Hayakawa Takashi Shibuya A. Schwing Yuki Mitsufuji VGen 126 12 0 19 Dec 2024
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Nianze Tao OOD OODD BDL 95 0 0 16 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer H. Chen Z. Wang X. Li X. Sun Fangyi Chen Jiang Liu J. Wang Bhiksha Raj Zicheng Liu Emad Barsoum VLM 108 6 0 14 Dec 2024
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction Alex Morehead Jianlin Cheng OOD 112 1 0 14 Dec 2024
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing Gaoxiang Cong Jiadong Pan Liang-Sheng Li Yuankai Qi Yuxin Peng A. Hengel Jian Yang Qingming Huang 90 6 0 12 Dec 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows Shufan Li Konstantinos Kallidromitis Akash Gokul Zichun Liao Yusuke Kato Kazuki Kozuka Aditya Grover VGen 90 5 0 02 Dec 2024
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation Zilyu Ye Zhiyang Chen Tiancheng Li Zemin Huang Weijian Luo Guo-jun Qi DiffM 72 4 0 02 Dec 2024
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding Jungbin Cho Junwan Kim Jisoo Kim Minseo Kim Mingu Kang S. Hong Tae-Hyun Oh Youngjae Yu VGen 86 1 0 29 Nov 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Bastian Wittmann Yannick Wattenberg Tamaz Amiranashvili Suprosanna Shit Bjoern H. Menze 81 3 0 26 Nov 2024
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis Hyojun Go Byeongjun Park Jiho Jang Jin-Young Kim Soonwoo Kwon Changick Kim 3DGS 111 2 0 25 Nov 2024
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing P. Xu Boyuan Jiang Xiaobin Hu Donghao Luo Q. He J. Zhang Chengjie Wang Yunsheng Wu Charles X. Ling Boyu Wang 87 2 0 24 Nov 2024
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bencheng Liao Shaoyu Chen Haoran Yin Bo Jiang Cheng Wang ... Xinbang Zhang Xiangyu Li Y. Zhang Qian Zhang Xinggang Wang 102 14 0 22 Nov 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Zhiwei Jia Yuesong Nan Huixi Zhao Gengdai Liu EGVM 86 0 0 22 Nov 2024
LaVin-DiT: Large Vision Diffusion Transformer Zhaoqing Wang Xiaobo Xia Runnan Chen Dongdong Yu Changhu Wang M. Gong Tongliang Liu 92 6 0 18 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 62 3 0 06 Nov 2024
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models Tariq Berrada Ifriqi Pietro Astolfi Melissa Hall Reyhane Askari Hemmat Yohann Benchetrit ... Matthew Muckley Karteek Alahari Adriana Romero Soriano Jakob Verbeek M. Drozdzal AI4CE VLM 52 2 0 05 Nov 2024
Generative Unfolding with Distribution Mapping A. Butter S. Diefenbacher Nathan Huetsch Vinicius Mikuni Benjamin Nachman Sofia Palacios Schweitzer Tilman Plehn DiffM 41 1 0 04 Nov 2024
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector Deok-Hyeon Cho Hyung-Seok Oh Seung-Bin Kim Seong-Whan Lee 39 3 0 04 Nov 2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction Yanshuo Chen Zhengmian Hu Wei Chen Heng Huang OT 39 1 0 01 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 36 0 0 01 Nov 2024
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models Arash Marioriyad Parham Rezaei M. Baghshah M. Rohban CoGe 97 0 0 30 Oct 2024
Predicting sub-population specific viral evolution Wenxian Shi Menghua Wu Regina Barzilay 29 0 0 28 Oct 2024
SIGMA: Single Interpolated Generative Model for Anomalies Ranit Das David Shih DiffM 33 2 0 27 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 70 6 0 25 Oct 2024
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances Shilin Lu Zihan Zhou Jiayou Lu Yuanzhi Zhu A. Kong WIGM 80 10 0 24 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling Zhengqiang Zhang Ruihuang Li Lei Zhang 33 2 0 24 Oct 2024
Solvation Free Energies from Neural Thermodynamic Integration Bálint Máté François Fleuret Tristan Bereau 31 1 0 21 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows Sandeep Nagar Girish Varma TPM 19 0 0 18 Oct 2024
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun Danqi Liao Kincaid MacDonald Yanlei Zhang Chen Liu Guillaume Huguet Guy Wolf Ian M. Adelstein Tim G. J. Rudner Smita Krishnaswamy 36 3 0 16 Oct 2024
SF-Speech: Straightened Flow for Zero-Shot Voice Clone Xuyuan Li Zengqiang Shang Hua Hua Peiyang Shi Chen Yang Li Wang Pengyuan Zhang 43 2 0 16 Oct 2024
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free Ziyue Li Tianyi Zhou MoE 66 16 0 14 Oct 2024
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers Enze Xie Junsong Chen Junyu Chen Han Cai Haotian Tang ... Zhekai Zhang Muyang Li Ligeng Zhu Y. Lu Song Han VLM 31 49 0 14 Oct 2024
Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI Moritz Piening Fabian Altekrüger Gabriele Steidl Elke Hattingen Eike Steidl MedIm 24 0 0 11 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 31 12 0 10 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 38 4 0 10 Oct 2024
Sylber: Syllabic Embedding Representation of Speech from Raw Audio Cheol Jun Cho Nicholas Lee Akshat Gupta Dhruv Agarwal Ethan Chen Alan W Black Gopala K. Anumanchipalli 32 0 0 09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 68 62 0 09 Oct 2024
An Undetectable Watermark for Generative Image Models Sam Gunn Xuandong Zhao Dawn Song WIGM 38 10 0 09 Oct 2024
Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin Zhicheng Sun Ningyuan Li Kun Xu K. Xu ... Nan Zhuang Quzhe Huang Yang Song Yadong Mu Zhouchen Lin VGen 66 64 0 08 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising Sulin Liu Juno Nam Andrew Campbell Hannes Stärk Yilun Xu Tommi Jaakkola Rafael Gómez-Bombarelli DiffM 33 6 0 08 Oct 2024
Revealing Directions for Text-guided 3D Face Editing Zhuo Chen Yichao Yan Sehngqi Liu Yuhao Cheng Weiming Zhao Lincheng Li Mengxiao Bi Xiaokang Yang DiffM 30 0 0 07 Oct 2024
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks N. Kim Seongsu Kim Minsu Kim Jinkyoo Park Sungsoo Ahn AI4CE 33 0 0 07 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting S. H. Lim Yijin Wang Annan Yu Emma Hart Michael W. Mahoney Xiaoye S. Li N. Benjamin Erichson AI4TS 42 1 0 04 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 37 1 0 04 Oct 2024