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UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion
  Probabilistic Models

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

12 April 2021
Hiroshi Sasaki
Chris G. Willcocks
T. Breckon
    DiffM
ArXivPDFHTML

Papers citing "UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models"

35 / 35 papers shown
Title
Regressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement
Regressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement
Christoph Gebhardt
Robin Willardt
Seyedmorteza Sadat
Chih-Wei Ning
Andreas Brombach
Jie Song
Otmar Hilliges
Christian Holz
63
0
0
21 Jan 2025
Mitigating analytical variability in fMRI results with style transfer
Mitigating analytical variability in fMRI results with style transfer
Elodie Germani
Elisa Fromont
Camille Maumet
DiffM
MedIm
58
2
0
20 Jan 2025
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion
  Models
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
Eungbean Lee
Somi Jeong
K. Sohn
DiffM
28
1
0
13 Oct 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Hefei Mei
Minjing Dong
Chang Xu
AAML
43
0
0
16 Aug 2024
MatFusion: A Generative Diffusion Model for SVBRDF Capture
MatFusion: A Generative Diffusion Model for SVBRDF Capture
Sam Sartor
Pieter Peers
26
28
0
24 Apr 2024
Cross-Domain Image Conversion by CycleDM
Cross-Domain Image Conversion by CycleDM
Sho Shimotsumagari
Shumpei Takezaki
Daichi Haraguchi
Seiichi Uchida
26
0
0
05 Mar 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
He Zhang
Liangliang Cao
Liangliang Cao
EGVM
66
85
0
27 Feb 2024
Relightful Harmonization: Lighting-aware Portrait Background Replacement
Relightful Harmonization: Lighting-aware Portrait Background Replacement
Mengwei Ren
Wei Xiong
Jae Shin Yoon
Zhixin Shu
Jianming Zhang
HyunJoon Jung
Guido Gerig
He Zhang
DiffM
30
17
0
11 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia
Yujun Shen
Ceyuan Yang
Ran Yi
Wenping Wang
Yong-jin Liu
24
5
0
30 Nov 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep
  Aligner
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
Mengfei Xia
Yujun Shen
Changsong Lei
Yu Zhou
Ran Yi
Deli Zhao
Wenping Wang
Yong-jin Liu
16
5
0
14 Oct 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa
Worameth Chinchuthakun
Pramook Khungurn
Amit Raj
Supasorn Suwajanakorn
DiffM
33
2
0
20 Jul 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGS
VGen
63
1,010
0
18 Apr 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a
  Single Image using Diffusion Models
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
D. Kothandaraman
Tianyi Zhou
Ming Lin
Dinesh Manocha
24
5
0
15 Mar 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated
  Learning for Multivariate Diffusions
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
22
21
0
14 Feb 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa
Supasorn Suwajanakorn
DiffM
30
12
0
27 Jan 2023
Post-training Quantization on Diffusion Models
Post-training Quantization on Diffusion Models
Yuzhang Shang
Zhihang Yuan
Bin Xie
Bingzhe Wu
Yan Yan
DiffM
MQ
15
156
0
28 Nov 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffM
AI4CE
33
121
0
26 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
12
49
0
22 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
22
39
0
23 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar
Shiran Zada
Oran Lang
Omer Tov
Hui-Tang Chang
Tali Dekel
Inbar Mosseri
Michal Irani
11
1,048
0
17 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
41
104
0
11 Oct 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
19
38
0
18 Aug 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey
Onat Dalmaz
S. Dar
H. Bedel
cSaban Ozturk
Alper Gungor
Tolga cCukur
DiffM
MedIm
30
275
0
17 Jul 2022
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
176
0
30 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion
  Generation
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Sheng-liang Li
Guangcong Zheng
Haibo Wang
Taiping Yao
Yang Chen
Shoudong Ding
Xi Li
DiffM
19
22
0
23 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion
  Probabilistic Models
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao
Chongxuan Li
Jiacheng Sun
Jun Zhu
Bo Zhang
DiffM
19
72
0
15 Jun 2022
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
DiffM
22
70
0
02 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
208
51
0
27 May 2022
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
TreEnhance: A Tree Search Method For Low-Light Image Enhancement
Marco Cotogni
C. Cusano
22
23
0
25 May 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task
  Diffusion Models
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe C. Cattin
MedIm
DiffM
16
32
0
06 Apr 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in
  Diffusion Probabilistic Models
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao
Chongxuan Li
Jun Zhu
Bo Zhang
DiffM
28
337
0
17 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal
  Derivatives
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
16
3
0
26 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models
  for Inverse Problems through Stochastic Contraction
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung
Byeongsu Sim
Jong Chul Ye
MedIm
DiffM
34
342
0
09 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
10
263
0
06 Dec 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
36
477
0
08 Mar 2021
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