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Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

29 May 2024
Yasi Zhang
Peiyu Yu
Yaxuan Zhu
Yingshan Chang
Feng Gao
Yingnian Wu
Oscar Leong
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Papers citing "Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching"

9 / 9 papers shown
Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern H. Menze
DiffM
28
1
0
14 Apr 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Tianyu Chen
Yasi Zhang
Zhilin Wang
Ying Nian Wu
Oscar Leong
Mingyuan Zhou
DiffM
45
1
0
10 Mar 2025
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian
  Theory
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory
Eric Hanchen Jiang
Yasi Zhang
Zhi Zhang
Yixin Wan
Andrew Lizarraga
Shufan Li
Ying Nian Wu
DiffM
77
2
0
25 Nov 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
9
0
03 Oct 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun
Zhenhao Yang
Yang Jin
Haozhe Chi
Kun Xu
...
Hao Jiang
Di Zhang
Yang Song
Kun Gai
Yadong Mu
37
3
0
23 May 2024
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image
  Diffusion Models
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
Yasi Zhang
Peiyu Yu
Yingnian Wu
DiffM
48
10
0
10 Apr 2024
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine L. Bouman
William T. Freeman
DiffM
87
87
0
23 Apr 2023
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
300
75,834
0
18 May 2015
1