Maximum Likelihood Training of Implicit Nonlinear Diffusion Models

27 May 2022

Papers citing "Maximum Likelihood Training of Implicit Nonlinear Diffusion Models"

50 / 61 papers shown

Title
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 112 2 0 13 Jan 2025
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 90 2 0 27 May 2024
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 74 3 0 03 Sep 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 73 6 0 13 Feb 2023
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 55 168 0 10 Aug 2022
Wavelet Score-Based Generative Modeling Florentin Guth Simon Coste Valentin De Bortoli S. Mallat DiffM 86 55 0 09 Aug 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 54 28 0 25 Mar 2022
Understanding DDPM Latent Codes Through Optimal Transport Valentin Khrulkov Gleb Ryzhakov Andrei Chertkov Ivan Oseledets OT DiffM 57 53 0 14 Feb 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 78 233 0 14 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 469 1,630 0 10 Nov 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 200 174 0 21 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 58 90 0 14 Oct 2021
Denoising Diffusion Gamma Models Eliya Nachmani S. Robin Lior Wolf DiffM VLM 43 32 0 10 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 162 1,117 0 01 Jul 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 63 50 0 14 Jun 2021
Styleformer: Transformer based Generative Adversarial Networks with Style Vector Jeeseung Park Younggeun Kim ViT 50 49 0 13 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 45 680 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 59 96 0 10 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 40 59 0 08 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching Chin-Wei Huang Jae Hyun Lim Aaron Courville DiffM 75 194 0 05 Jun 2021
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 52 142 0 03 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 96 465 0 01 Jun 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 56 69 0 31 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 188 7,818 0 11 May 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar Richard Y. Zhang Jun-Yan Zhu EGVM 63 76 0 22 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 50 163 0 12 Apr 2021
Implicit Normalizing Flows Cheng Lu Jianfei Chen Chongxuan Li Qiuhao Wang Jun Zhu AI4CE 49 34 0 17 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 312 3,671 0 18 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yi Ding Shiyu Chang Zhangyang Wang ViT 99 391 0 14 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 131 663 0 22 Jan 2021
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 61 49 0 01 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 313 6,444 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 177 350 0 20 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 44 82 0 19 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 221 7,350 0 06 Oct 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 57 126 0 11 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 67 910 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 540 18,008 0 19 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 116 2,414 0 18 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 218 1,150 0 16 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 129 1,882 0 11 Jun 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 57 63 0 22 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 370 10,591 0 17 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 216 3,893 0 12 Jul 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 104 377 0 06 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 99 417 0 17 May 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 99 1,896 0 23 Apr 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 82 449 0 01 Feb 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 79 170 0 10 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 537 10,540 0 12 Dec 2018