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Conditional Invertible Neural Networks for Diverse Image-to-Image
  Translation

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation

5 May 2021
Lynton Ardizzone
Jakob Kruse
Carsten T. Lüth
Niels Bracher
Carsten Rother
Ullrich Kothe
ArXivPDFHTML

Papers citing "Conditional Invertible Neural Networks for Diverse Image-to-Image Translation"

21 / 21 papers shown
Title
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception
Yuanhao Huang
Qinfan Zhang
Jiandong Xing
Mengyue Cheng
Haiyang Yu
Yilong Ren
Xiao Xiong
AAML
60
0
0
12 Feb 2025
ISR: Invertible Symbolic Regression
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
51
0
0
10 May 2024
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural
  Networks
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
Yuli Wu
Julian Wittmann
Peter Walter
Johannes Stegmaier
35
1
0
07 Mar 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative
  Distance Kernel
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Paul Hagemann
J. Hertrich
Fabian Altekrüger
Robert Beinert
Jannis Chemseddine
Gabriele Steidl
19
24
0
04 Oct 2023
Application-driven Validation of Posteriors in Inverse Problems
Application-driven Validation of Posteriors in Inverse Problems
T. Adler
Jan-Hinrich Nolke
Annika Reinke
M. Tizabi
Sebastian Gruber
...
Lynton Ardizzone
Paul F. Jaeger
Florian Buettner
Ullrich Kothe
Lena Maier-Hein
MedIm
38
1
0
18 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy
  measurements
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar
Rucha Deshpande
Arindam Banerjee
M. Anastasio
DRL
MedIm
38
6
0
09 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
21
6
0
04 Aug 2023
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via
  Secure Flow
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
Lin Yuan
Kai Liang
Xiao Pu
Yan Zhang
Jiaxu Leng
Tao Wu
Nannan Wang
Xinbo Gao
PICV
23
1
0
18 Jul 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
MedIm
38
8
0
02 Jun 2023
Investigation of inverse design of multilayer thin-films with
  conditional invertible Neural Networks
Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks
Alexander Luce
Ali Mahdavi
H. Wankerl
F. Marquardt
35
5
0
10 Oct 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone
  Mapping
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
Aamir Mustafa
Param Hanji
Rafał K. Mantiuk
37
10
0
30 Sep 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design
  using Invertible Neural Networks
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks
Michel Frising
J. Bravo-Abad
F. Prins
27
2
0
29 Aug 2022
Invertible Neural Networks for Graph Prediction
Invertible Neural Networks for Graph Prediction
Chen Xu
Xiuyuan Cheng
Yao Xie
GNN
23
9
0
02 Jun 2022
Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian Imaging
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
26
16
0
15 Apr 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
24
36
0
16 Mar 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
Fabian Altekrüger
J. Hertrich
27
15
0
20 Jan 2022
RID-Noise: Towards Robust Inverse Design under Noisy Environments
RID-Noise: Towards Robust Inverse Design under Noisy Environments
Jia-Qi Yang
Ke-Bin Fan
Hao Ma
De-Chuan Zhan
33
4
0
07 Dec 2021
Generalized Normalizing Flows via Markov Chains
Generalized Normalizing Flows via Markov Chains
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDL
DiffM
AI4CE
30
22
0
24 Nov 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains
  Viewpoint
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint
Paul Hagemann
J. Hertrich
Gabriele Steidl
BDL
26
36
0
23 Sep 2021
Full-Glow: Fully conditional Glow for more realistic image generation
Full-Glow: Fully conditional Glow for more realistic image generation
Moein Sorkhei
G. Henter
Hedvig Kjellström
19
6
0
10 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
1