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Flow Matching in Latent Space

Flow Matching in Latent Space

17 July 2023
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
ArXivPDFHTML

Papers citing "Flow Matching in Latent Space"

50 / 50 papers shown
Title
Real-Time Person Image Synthesis Using a Flow Matching Model
Real-Time Person Image Synthesis Using a Flow Matching Model
Jiwoo Jeong
Kirok Kim
Wooju Kim
Nam-Joon Kim
3DH
56
0
0
06 May 2025
Flow Along the K-Amplitude for Generative Modeling
Flow Along the K-Amplitude for Generative Modeling
Weitao Du
Shuning Chang
Jiasheng Tang
Yu Rong
F. Wang
Shengchao Liu
51
0
0
27 Apr 2025
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
Zitai Kong
Yiheng Zhu
Yinlong Xu
Hanjing Zhou
Mingzhe Yin
Jialu Wu
Hongxia Xu
Chang-Yu Hsieh
Tingjun Hou
J. Wu
29
0
0
15 Apr 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
Mashrur M. Morshed
Vishnu Boddeti
33
0
0
10 Apr 2025
InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment
Y. Lu
Qichao Wang
H. Cao
Xierui Wang
Xiaoyin Xu
Min Zhang
59
0
0
24 Mar 2025
Offline Model-Based Optimization: Comprehensive Review
Offline Model-Based Optimization: Comprehensive Review
Minsu Kim
Jiayao Gu
Ye Yuan
Taeyoung Yun
Z. Liu
Yoshua Bengio
Can Chen
OffRL
57
2
0
21 Mar 2025
MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance
MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance
Zihan Cao
Yu Zhong
Z. Wang
Liang-Jian Deng
48
0
0
19 Mar 2025
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
Zihan Cao
Yu Zhong
Liang-Jian Deng
OT
47
0
0
19 Mar 2025
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
Runyi Li
Bin Chen
Jian Andrew Zhang
Radu Timofte
SupR
53
0
0
18 Mar 2025
Generative Uncertainty in Diffusion Models
Generative Uncertainty in Diffusion Models
Metod Jazbec
Eliot Wong-Toi
Guoxuan Xia
Dan Zhang
Eric T. Nalisnick
Stephan Mandt
DiffM
43
0
0
28 Feb 2025
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Noam Issachar
Mohammad Salama
Raanan Fattal
Sagie Benaim
81
0
0
13 Feb 2025
Improved Training Technique for Latent Consistency Models
Improved Training Technique for Latent Consistency Models
Quan Dao
Khanh Doan
Di Liu
Trung Le
Dimitris N. Metaxas
60
3
0
03 Feb 2025
Community Forensics: Using Thousands of Generators to Train Fake Image
  Detectors
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Jeongsoo Park
Andrew Owens
25
3
0
06 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
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
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou
Yilai Li
Jing Yuan
Quanquan Gu
33
1
0
11 Oct 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
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
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
Gavin Kerrigan
Kai Nelson
Padhraic Smyth
AI4TS
35
1
0
09 Oct 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
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
Stochastic Sampling from Deterministic Flow Models
Stochastic Sampling from Deterministic Flow Models
Saurabh Singh
Ian S. Fischer
34
2
0
03 Oct 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Mohammad R. Rezaei
Rahul G. Krishnan
Milos R. Popovic
M. Lankarany
DiffM
19
0
0
22 Sep 2024
DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset
DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset
Jiawei Du
I-Ming Lin
I-Hsiang Chiu
Xuanjun Chen
Haibin Wu
Wenze Ren
Yu Tsao
Hung-yi Lee
Jyh-Shing Roger Jang
DiffM
35
2
0
13 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
31
5
0
26 Aug 2024
Diffusion Models and Representation Learning: A Survey
Diffusion Models and Representation Learning: A Survey
Michael Fuest
Pingchuan Ma
Ming Gui
Johannes S. Fischer
Vincent Tao Hu
Bjorn Ommer
DiffM
24
19
0
30 Jun 2024
Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of
  99%
Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
Lei Zhu
Fangyun Wei
Yanye Lu
Dong Chen
VLM
38
31
0
17 Jun 2024
Variational Flow Matching for Graph Generation
Variational Flow Matching for Graph Generation
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan Willem van de Meent
31
10
0
07 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
55
31
0
03 Jun 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
L. Bogensperger
Dominik Narnhofer
Alexander Falk
Konrad Schindler
Thomas Pock
MedIm
33
3
0
28 May 2024
Reflected Flow Matching
Reflected Flow Matching
Tianyu Xie
Yu Zhu
Longlin Yu
Tong Yang
Ziheng Cheng
Shiyue Zhang
Xiangyu Zhang
Cheng Zhang
25
5
0
26 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
56
10
0
26 May 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
33
10
0
05 Apr 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
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
40
42
0
20 Mar 2024
DepthFM: Fast Monocular Depth Estimation with Flow Matching
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
34
51
0
20 Mar 2024
Extended Flow Matching: a Method of Conditional Generation with
  Generalized Continuity Equation
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation
Noboru Isobe
Masanori Koyama
Jinzhe Zhang
Kohei Hayashi
Kenji Fukumizu
32
10
0
29 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stärk
Bowen Jing
Chenyu Wang
Gabriele Corso
Bonnie Berger
Regina Barzilay
Tommi Jaakkola
BDL
42
45
0
08 Feb 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable
  Interpolant Transformers
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
27
163
0
16 Jan 2024
Improved motif-scaffolding with SE(3) flow matching
Improved motif-scaffolding with SE(3) flow matching
Jason Yim
Andrew Campbell
Emile Mathieu
Andrew Y. K. Foong
Michael Gastegger
...
Victor Garcia Satorras
Bastiaan S. Veeling
Frank Noé
Regina Barzilay
Tommi Jaakkola
16
31
0
08 Jan 2024
Guided Diffusion from Self-Supervised Diffusion Features
Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu
Yunlu Chen
Mathilde Caron
Yuki M. Asano
Cees G. M. Snoek
Bjorn Ommer
27
10
0
14 Dec 2023
Boosting Latent Diffusion with Flow Matching
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
Conditional Stochastic Interpolation for Generative Learning
Conditional Stochastic Interpolation for Generative Learning
Ding Huang
Jian Huang
Ting Li
Guohao Shen
BDL
DiffM
31
4
0
09 Dec 2023
Exploring Straighter Trajectories of Flow Matching with Diffusion
  Guidance
Exploring Straighter Trajectories of Flow Matching with Diffusion Guidance
Siyu Xing
Jie Cao
Huaibo Huang
Xiao-Yu Zhang
Ran He
30
3
0
28 Nov 2023
Guided Flows for Generative Modeling and Decision Making
Guided Flows for Generative Modeling and Decision Making
Qinqing Zheng
Matt Le
Neta Shaul
Y. Lipman
Aditya Grover
Ricky T. Q. Chen
21
35
0
22 Nov 2023
Stochastic interpolants with data-dependent couplings
Stochastic interpolants with data-dependent couplings
M. S. Albergo
Mark Goldstein
Nicholas M. Boffi
Rajesh Ranganath
Eric Vanden-Eijnden
OT
30
28
0
05 Oct 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
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
125
0
28 Apr 2023
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
214
175
0
30 Jun 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
772
0
27 May 2022
Autoregressive Image Generation using Residual Quantization
Autoregressive Image Generation using Residual Quantization
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
VGen
168
325
0
03 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
487
0
01 Feb 2022
Image Synthesis via Semantic Composition
Image Synthesis via Semantic Composition
Yi Wang
Lu Qi
Ying-Cong Chen
X. Zhang
Jiaya Jia
174
61
0
15 Sep 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
172
719
0
02 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
1