ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.07942
  4. Cited By
Source Separation with Deep Generative Priors
v1v2 (latest)

Source Separation with Deep Generative Priors

International Conference on Machine Learning (ICML), 2020
19 February 2020
V. Jayaram
John Thickstun
ArXiv (abs)PDFHTML

Papers citing "Source Separation with Deep Generative Priors"

35 / 35 papers shown
Disentanglement of Sources in a Multi-Stream Variational Autoencoder
Disentanglement of Sources in a Multi-Stream Variational Autoencoder
Veranika Boukun
Jörg Lücke
DRLCoGe
300
0
0
17 Oct 2025
Audio Generation Through Score-Based Generative Modeling: Design Principles and Implementation
Ge Zhu
Yutong Wen
Zhiyao Duan
DiffMMedIm
320
3
0
10 Jun 2025
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
Yunkee Chae
Kyogu Lee
490
1
0
29 May 2025
Source Separation by Flow Matching
Source Separation by Flow Matching
Robin Scheibler
John R. Hershey
Arnaud Doucet
Henry Li
544
3
0
22 May 2025
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
Zhongweiyang Xu
Xulin Fan
Zhong-Qiu Wang
Xilin Jiang
Romit Roy Choudhury
DiffM
615
5
0
08 May 2025
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio RepresentationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Ruben Ciranni
Emilian Postolache
Giorgio Mariani
Michele Mancusi
Giorgio Fabbro
Emanuele Rodolà
Luca Cosmo
734
19
0
10 Jan 2025
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models
Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Tornike Karchkhadze
M. Izadi
Shlomo Dubnov
DiffM
399
14
0
31 Dec 2024
Source Separation of Multi-source Raw Music using a Residual Quantized
  Variational Autoencoder
Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder
Leonardo Berti
DRL
217
0
0
12 Aug 2024
Maximum Discrepancy Generative Regularization and Non-Negative Matrix
  Factorization for Single Channel Source Separation
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation
Martin Ludvigsen
M. Grasmair
180
0
0
26 Mar 2024
Generalized Multi-Source Inference for Text Conditioned Music Diffusion
  Models
Generalized Multi-Source Inference for Text Conditioned Music Diffusion ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Emilian Postolache
Giorgio Mariani
Luca Cosmo
Emmanouil Benetos
Emanuele Rodolà
DiffM
287
12
0
18 Mar 2024
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
Matthew B. Webster
Joonnyong Lee
414
1
0
31 Aug 2023
Score-based Source Separation with Applications to Digital Communication
  Signals
Score-based Source Separation with Applications to Digital Communication SignalsNeural Information Processing Systems (NeurIPS), 2023
T. Jayashankar
Gary C. F. Lee
A. Lancho
Amir Weiss
Yury Polyanskiy
Greg Wornell
DiffM
429
15
0
26 Jun 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving
  segmentation
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentationInformation Processing in Medical Imaging (IPMI), 2023
B. Kim
Jose Dolz
Pierre-Marc Jodoin
Christian Desrosiers
196
1
0
23 May 2023
Diffusion-based Signal Refiner for Speech Enhancement and Separation
Diffusion-based Signal Refiner for Speech Enhancement and Separation
M. Hirano
Kazuki Shimada
Yuichiro Koyama
Shusuke Takahashi
Yuki Mitsufuji
DiffM
291
8
0
10 May 2023
Adversarial Generative NMF for Single Channel Source Separation
Adversarial Generative NMF for Single Channel Source Separation
Martin Ludvigsen
M. Grasmair
GAN
232
0
0
24 Apr 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and
  Separation
Multi-Source Diffusion Models for Simultaneous Music Generation and SeparationInternational Conference on Learning Representations (ICLR), 2023
Giorgio Mariani
Irene Tallini
Emilian Postolache
Michele Mancusi
Luca Cosmo
Emanuele Rodolà
DiffM
676
73
0
04 Feb 2023
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving
  Source Separation
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati
Eliya Nachmani
Lior Wolf
DiffM
262
23
0
25 Jan 2023
Latent Autoregressive Source Separation
Latent Autoregressive Source SeparationAAAI Conference on Artificial Intelligence (AAAI), 2023
Emilian Postolache
Giorgio Mariani
Michele Mancusi
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
BDLDRL
223
13
0
09 Jan 2023
Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomyRoyal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
292
51
0
07 Nov 2022
Diffusion-based Generative Speech Source Separation
Diffusion-based Generative Speech Source SeparationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Robin Scheibler
Youna Ji
Soo-Whan Chung
J. Byun
Soyeon Choe
Min-Seok Choi
DiffM
440
66
0
31 Oct 2022
Semi-Blind Source Separation with Learned Constraints
Semi-Blind Source Separation with Learned ConstraintsSignal Processing (Signal Process.), 2022
R. C. Gertosio
J. Bobin
F. Acero
204
4
0
27 Sep 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging
  Reconstruction
One-shot Generative Prior in Hankel-k-space for Parallel Imaging ReconstructionIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hong Peng
Chenbo Jiang
Jing Cheng
Minghui Zhang
Shanshan Wang
Dong Liang
Qiegen Liu
DiffMMedIm
370
23
0
15 Aug 2022
Music Source Separation with Generative Flow
Music Source Separation with Generative FlowIEEE Signal Processing Letters (SPL), 2022
Ge Zhu
Jordan Darefsky
Fei Jiang
A. Selitskiy
Z. Duan
400
13
0
19 Apr 2022
Learning and controlling the source-filter representation of speech with
  a variational autoencoder
Learning and controlling the source-filter representation of speech with a variational autoencoderSpeech Communication (Speech Commun.), 2022
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
SSLDRLBDL
426
15
0
14 Apr 2022
Denoising Likelihood Score Matching for Conditional Score-based Data
  Generation
Denoising Likelihood Score Matching for Conditional Score-based Data GenerationInternational Conference on Learning Representations (ICLR), 2022
Chen-Hao Chao
Wei-Fang Sun
Bo Wun Cheng
Yi-Chen Lo
Chia-Che Chang
Yu-Lun Liu
Yu-Lin Chang
Chia-Ping Chen
Chun-Yi Lee
DiffM
241
56
0
27 Mar 2022
Unsupervised Source Separation via Bayesian Inference in the Latent
  Domain
Unsupervised Source Separation via Bayesian Inference in the Latent Domain
Michele Mancusi
Emilian Postolache
Giorgio Mariani
Marco Fumero
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
BDL
341
4
0
11 Oct 2021
Blind Image Decomposition
Blind Image DecompositionEuropean Conference on Computer Vision (ECCV), 2021
Junlin Han
Weihao Li
Pengfei Fang
Chunyi Sun
Jie Hong
M. Armin
L. Petersson
Hongdong Li
374
49
0
25 Aug 2021
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
Wavelet Transform-assisted Adaptive Generative Modeling for ColorizationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Jin Li
Wanyun Li
Zichen Xu
Yuhao Wang
Qiegen Liu
DiffM
279
21
0
09 Jul 2021
Gotta Go Fast When Generating Data with Score-Based Models
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau
Ke Li
Remi Piche-Taillefer
Tal Kachman
Ioannis Mitliagkas
DiffM
417
260
0
28 May 2021
Parallel and Flexible Sampling from Autoregressive Models via Langevin
  Dynamics
Parallel and Flexible Sampling from Autoregressive Models via Langevin DynamicsInternational Conference on Machine Learning (ICML), 2021
V. Jayaram
John Thickstun
DiffM
298
26
0
17 May 2021
Detector-Free Weakly Supervised Grounding by Separation
Detector-Free Weakly Supervised Grounding by SeparationIEEE International Conference on Computer Vision (ICCV), 2021
Assaf Arbelle
Sivan Doveh
Amit Alfassy
J. Shtok
Guy Lev
...
Kate Saenko
S. Ullman
Raja Giryes
Rogerio Feris
Leonid Karlinsky
214
31
0
20 Apr 2021
Joint Intensity-Gradient Guided Generative Modeling for Colorization
Joint Intensity-Gradient Guided Generative Modeling for Colorization
Kai Hong
Jin Li
Wanyun Li
Cailian Yang
Minghui Zhang
Yuhao Wang
Qiegen Liu
GAN
239
0
0
28 Dec 2020
Problems using deep generative models for probabilistic audio source
  separation
Problems using deep generative models for probabilistic audio source separation
M. Frank
Maximilian Ilse
DiffM
231
4
0
03 Nov 2020
The Cone of Silence: Speech Separation by Localization
The Cone of Silence: Speech Separation by Localization
Teerapat Jenrungrot
V. Jayaram
S. M. Seitz
Ira Kemelmacher-Shlizerman
293
65
0
12 Oct 2020
Solving Inverse Problems with a Flow-based Noise Model
Solving Inverse Problems with a Flow-based Noise ModelInternational Conference on Machine Learning (ICML), 2020
Jay Whang
Qi Lei
A. Dimakis
442
42
0
18 Mar 2020
1
Page 1 of 1