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Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Neural Information Processing Systems (NeurIPS), 2023
1 March 2023
Diederik P. Kingma
Ruiqi Gao
DiffM
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Papers citing
"Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation"
49 / 149 papers shown
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment
International Conference on Learning Representations (ICLR), 2024
Huayu Chen
Hang Su
Peize Sun
Jun Zhu
VLM
229
11
0
12 Oct 2024
Simple ReFlow: Improved Techniques for Fast Flow Models
International Conference on Learning Representations (ICLR), 2024
Beomsu Kim
Yu-Guan Hsieh
Stephen Zhang
Marco Cuturi
Jong Chul Ye
Bahjat Kawar
James Thornton
VLM
233
28
0
10 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
International Conference on Learning Representations (ICLR), 2024
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
713
308
0
09 Oct 2024
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Emmanouil Benetos
Zhikang Niu
Ziyang Ma
Keqi Deng
Chunhui Wang
Jian Zhao
Kai Yu
Xie Chen
616
281
0
09 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
International Conference on Learning Representations (ICLR), 2024
Enrico Ventura
Beatrice Achilli
Gianluigi Silvestri
Carlo Lucibello
Luca Ambrogioni
DiffM
572
21
0
08 Oct 2024
Diffusion-based Unsupervised Audio-visual Speech Enhancement
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Jean-Eudes Ayilo
Mostafa Sadeghi
Romain Serizel
Xavier Alameda-Pineda
DiffM
318
7
0
04 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture
International Conference on Learning Representations (ICLR), 2024
Dengsheng Chen
Jie Hu
Xiaoming Wei
Enhua Wu
DiffM
502
5
0
02 Oct 2024
Sample-Efficient Diffusion for Text-To-Speech Synthesis
Interspeech (Interspeech), 2024
Justin Lovelace
Soham Ray
Kwangyoun Kim
Kilian Q. Weinberger
Felix Wu
126
3
0
01 Sep 2024
FLUX that Plays Music
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Junshi Huang
322
18
0
01 Sep 2024
Constrained Diffusion Models via Dual Training
Neural Information Processing Systems (NeurIPS), 2024
Shervin Khalafi
Dongsheng Ding
Alejandro Ribeiro
316
13
0
27 Aug 2024
Connective Viewpoints of Signal-to-Noise Diffusion Models
Khanh Doan
L. Vuong
Tuan Nguyen
Anh Tuan Bui
Quyen Tran
Thanh-Toan Do
Dinh Q. Phung
Trung Le
DiffM
83
0
0
08 Aug 2024
Diffusion Guided Language Modeling
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Justin Lovelace
Varsha Kishore
Yiwei Chen
Kilian Q. Weinberger
294
10
0
08 Aug 2024
Scaling Diffusion Transformers to 16 Billion Parameters
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Debang Li
Junshi Huang
DiffM
MoE
298
37
0
16 Jul 2024
Several questions of visual generation in 2024
Shuyang Gu
219
2
0
11 Jul 2024
High Fidelity Text-Guided Music Generation and Editing via Single-Stage Flow Matching
Gaël Le Lan
Bowen Shi
Zhaoheng Ni
Sidd Srinivasan
Anurag Kumar
...
Varun K. Nagaraja
Ernie Chang
Wei-Ning Hsu
Yangyang Shi
Vikas Chandra
DiffM
137
2
0
04 Jul 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu
Gabriele Corso
Tommi Jaakkola
Arash Vahdat
Karsten Kreis
325
21
0
03 Jul 2024
Improved Noise Schedule for Diffusion Training
Tiankai Hang
Shuyang Gu
DiffM
334
33
0
03 Jul 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen
Diego Marti Monso
Yilun Du
Max Simchowitz
Russ Tedrake
Vincent Sitzmann
DiffM
448
299
0
01 Jul 2024
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
Min Zhao
Hongzhou Zhu
Chendong Xiang
Kaiwen Zheng
Chongxuan Li
Jun Zhu
332
21
0
22 Jun 2024
Consistency Models Made Easy
Zhengyang Geng
Ashwini Pokle
William Luo
Justin Lin
J. Zico Kolter
265
81
0
20 Jun 2024
COT Flow: Learning Optimal-Transport Image Sampling and Editing by Contrastive Pairs
Xinrui Zu
Qian Tao
OT
DiffM
129
0
0
17 Jun 2024
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
489
483
0
17 Jun 2024
Improving Consistency Models with Generator-Augmented Flows
Thibaut Issenhuth
Sangchul Lee
Ludovic Dos Santos
Jean-Yves Franceschi
Chansoo Kim
Alain Rakotomamonjy
162
0
0
13 Jun 2024
Variational Flow Matching for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan-Willem van de Meent
455
37
0
07 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Hao Chen
Yujin Han
Diganta Misra
Xiang Li
Kai Hu
Difan Zou
Masashi Sugiyama
Yongfeng Zhang
Bhiksha Raj
DiffM
290
10
0
30 May 2024
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen
Zhendong Wang
Mingyuan Zhou
OffRL
265
22
0
30 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Yasi Zhang
Peiyu Yu
Yaxuan Zhu
Yingshan Chang
Feng Gao
Yingnian Wu
Oscar Leong
460
29
0
29 May 2024
Diffusion Rejection Sampling
Byeonghu Na
Yeongmin Kim
Minsang Park
DongHyeok Shin
Wanmo Kang
Il-Chul Moon
281
10
0
28 May 2024
EM Distillation for One-step Diffusion Models
Sirui Xie
Zhisheng Xiao
Diederik P. Kingma
Tingbo Hou
Ying Nian Wu
Kevin Patrick Murphy
Tim Salimans
Ben Poole
Ruiqi Gao
VLM
DiffM
323
48
0
27 May 2024
Poisson Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2024
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
290
6
0
23 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
321
48
0
19 May 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
402
29
0
19 Apr 2024
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Debang Li
Junshi Huang
275
49
0
06 Apr 2024
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2024
Geon Yeong Park
Hyeonho Jeong
Sang Wan Lee
Jong Chul Ye
VGen
DiffM
202
19
0
22 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
704
12
0
15 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
2.5K
2,797
0
05 Mar 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara
Bruce Huang
Ruida Zhou
Suhas Diggavi
623
1
0
19 Feb 2024
Stochastic Localization via Iterative Posterior Sampling
Louis Grenioux
Maxence Noble
Marylou Gabrié
Alain Durmus
DiffM
310
23
0
16 Feb 2024
Rolling Diffusion Models
International Conference on Machine Learning (ICML), 2024
David Ruhe
Jonathan Heek
Tim Salimans
Emiel Hoogeboom
DiffM
271
74
0
12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
Statistics Survey (Stat. Surv.), 2024
Wenpin Tang
Hanyang Zhao
DiffM
397
43
0
12 Feb 2024
Scalable Diffusion Models with State Space Backbone
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Junshi Huang
361
47
0
08 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data
International Conference on Learning Representations (ICLR), 2023
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
527
8
0
16 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement
Philippe Gonzalez
Zheng-Hua Tan
Jan Østergaard
Jesper Jensen
T. S. Alstrøm
Tobias May
DiffM
249
18
0
07 Dec 2023
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Philippe Gonzalez
Zheng-Hua Tan
Jan Østergaard
Jesper Jensen
T. S. Alstrøm
Tobias May
DiffM
284
9
0
05 Dec 2023
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
International Conference on Learning Representations (ICLR), 2023
Katja Schwarz
Seung Wook Kim
Jun Gao
Sanja Fidler
Andreas Geiger
Karsten Kreis
311
8
0
22 Nov 2023
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
International Conference on Learning Representations (ICLR), 2023
Tuan Le
Julian Cremer
Frank Noé
Djork-Arné Clevert
Kristof T. Schütt
DiffM
274
48
0
29 Sep 2023
Diffusion-based speech enhancement with a weighted generative-supervised learning loss
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jean-Eudes Ayilo
Mostafa Sadeghi
Romain Serizel
DiffM
235
10
0
19 Sep 2023
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Eloi Moliner
Filip Elvander
Vesa Valimaki
DiffM
272
19
0
02 Jun 2023
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker
Simon Damm
Thorsten Holz
Asja Fischer
DiffM
382
138
0
26 Oct 2022
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