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2010.13821
Cited By
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2020
26 October 2020
Jason J. Yu
Konstantinos G. Derpanis
Marcus A. Brubaker
TPM
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Papers citing
"Wavelet Flow: Fast Training of High Resolution Normalizing Flows"
31 / 31 papers shown
Scale-Adaptive Generative Flows for Multiscale Scientific Data
Yifan Chen
Eric Vanden-Eijnden
212
1
0
03 Sep 2025
Lipschitz-Guided Design of Interpolation Schedules in Generative Models
Yifan Chen
Eric Vanden-Eijnden
Jiawei Xu
DiffM
285
5
0
01 Sep 2025
Wavelet Flow For Extragalactic Foreground Simulations
M. Mebratu
W. L. K. Wu
446
3
0
27 May 2025
Spectral Dictionary Learning for Generative Image Modeling
Andrew Kiruluta
DiffM
289
2
0
21 Apr 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
International Conference on Learning Representations (ICLR), 2025
Henry Li
Ronen Basri
Y. Kluger
DiffM
609
4
0
13 Jan 2025
Analyzing Generative Models by Manifold Entropic Metrics
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Daniel Galperin
Ullrich Köthe
DRL
473
1
0
25 Oct 2024
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
242
0
0
06 Jul 2024
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
Luigi Sigillo
R. F. Gramaccioni
Alessandro Nicolosi
Danilo Comminiello
250
7
0
27 Mar 2024
TriNeRFLet: A Wavelet Based Triplane NeRF Representation
European Conference on Computer Vision (ECCV), 2024
Rajaei Khatib
Raja Giryes
212
11
0
11 Jan 2024
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wanjie Sun
Zhenzhong Chen
SupR
297
9
0
08 Oct 2023
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
305
14
0
04 Aug 2023
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
Li Pang
Weizhen Gu
Xiangyong Cao
Xiangyu Rui
Jiangjun Peng
311
3
0
20 Jun 2023
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows
Josué Page Vizcaíno
Panagiotis Symvoulidis
Zeguan Wang
Jonas Jelten
Paolo Favaro
Ed Boyden
Tobias Lasser
150
4
0
10 Jun 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
B. Dai
U. Seljak
349
23
0
07 Jun 2023
Conditionally Strongly Log-Concave Generative Models
International Conference on Machine Learning (ICML), 2023
Florentin Guth
Etienne Lempereur
Joan Bruna
S. Mallat
272
4
0
31 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yiheng Zhu
Zhenqiu Ouyang
Ben Liao
Jialun Wu
YiXuan Wu
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
AI4CE
282
13
0
15 May 2023
Learning a Deep Color Difference Metric for Photographic Images
Computer Vision and Pattern Recognition (CVPR), 2023
Zhaodong Sun
Zhihua Wang
Yang Yang
Qilin Sun
Kede Ma
202
12
0
27 Mar 2023
Learning multi-scale local conditional probability models of images
International Conference on Learning Representations (ICLR), 2023
Zahra Kadkhodaie
Florentin Guth
S. Mallat
Eero P. Simoncelli
DiffM
254
25
0
06 Mar 2023
Wavelet Score-Based Generative Modeling
Neural Information Processing Systems (NeurIPS), 2022
Florentin Guth
Simon Coste
Valentin De Bortoli
S. Mallat
DiffM
332
80
0
09 Aug 2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
MedIm
151
4
0
09 Aug 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
APSIPA Transactions on Signal and Information Processing (TASIP), 2022
Zohreh Azizi
C.-C. Jay Kuo
VLM
DiffM
GAN
333
9
0
01 Jun 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization
Inverse Problems (IP), 2022
Fabian Altekrüger
Alexander Denker
Paul Hagemann
J. Hertrich
Peter Maass
Gabriele Steidl
MedIm
375
30
0
24 May 2022
Conditional Injective Flows for Bayesian Imaging
IEEE Transactions on Computational Imaging (TCI), 2022
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
440
17
0
15 Apr 2022
PixelPyramids: Exact Inference Models from Lossless Image Pyramids
Shweta Mahajan
Stefan Roth
TPM
238
2
0
17 Oct 2021
Multi-Resolution Continuous Normalizing Flows
Vikram S. Voleti
Chris Finlay
Adam M. Oberman
Christopher Pal
469
6
0
15 Jun 2021
Densely connected normalizing flows
Neural Information Processing Systems (NeurIPS), 2021
Matej Grcić
Ivan Grubišić
Sinisa Segvic
TPM
366
64
0
08 Jun 2021
CAFLOW: Conditional Autoregressive Flows
Foundations of Data Science (FODS), 2021
Georgios Batzolis
M. Carioni
Christian Etmann
S. Afyouni
Zoe Kourtzi
Carola Bibiane Schönlieb
173
4
0
04 Jun 2021
Stochastic Image-to-Video Synthesis using cINNs
Computer Vision and Pattern Recognition (CVPR), 2021
Michael Dorkenwald
Timo Milbich
A. Blattmann
Robin Rombach
Konstantinos G. Derpanis
Bjorn Ommer
DiffM
VGen
273
64
0
10 May 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows
M. Valiuddin
C.G.A. Viviers
OODD
171
0
0
23 Mar 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow
Shuo-Hui Li
300
3
0
27 Jan 2021
Fully Hyperbolic Convolutional Neural Networks
Research in the Mathematical Sciences (RMS), 2019
Keegan Lensink
Bas Peters
E. Haber
MedIm
259
25
0
24 May 2019
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