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Denoising Diffusion Probabilistic Models

Neural Information Processing Systems (NeurIPS), 2025

19 June 2020

Jonathan Ho

Ajay Jain

Pieter Abbeel

DiffM

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Papers citing "Denoising Diffusion Probabilistic Models"

23 / 9,773 papers shown

Title
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 167 10 0 11 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 100 2 0 11 Dec 2020
Improved Contrastive Divergence Training of Energy Based ModelsInternational Conference on Machine Learning (ICML), 2024 Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 286 154 0 02 Dec 2020
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2025 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 764 7,684 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on ImagesInternational Conference on Learning Representations (ICLR), 2025 R. Child BDL VLM 274 365 0 20 Nov 2020
Diffusion models for Handwriting Generation Troy Luhman Eric Luhman DiffM 105 28 0 13 Nov 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data Taehyean Choi Ji-Su Kang Jong-Hwan Kim SyDa AI4TS 137 22 0 20 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers Preetum Nakkiran Behnam Neyshabur Hanie Sedghi OffRL 156 11 0 16 Oct 2020
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics Hirokazu Kameoka Takuhiro Kaneko Kou Tanaka Nobukatsu Hojo Shogo Seki DiffM 182 24 0 06 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 273 88 0 06 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 691 8,850 0 06 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2025 Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 217 131 0 01 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio SynthesisInternational Conference on Learning Representations (ICLR), 2025 Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 474 1,617 0 21 Sep 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering Yihao Huang Felix Juefei Xu Qing Guo Yang Liu G. Pu 137 26 0 19 Sep 2020
Adversarial score matching and improved sampling for image generationInternational Conference on Learning Representations (ICLR), 2025 Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 172 129 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform GenerationInternational Conference on Learning Representations (ICLR), 2025 Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 266 834 0 02 Sep 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 167 94 0 06 Jul 2020
Simple and Effective VAE Training with Calibrated DecodersInternational Conference on Machine Learning (ICML), 2024 Oleh Rybkin Kostas Daniilidis Sergey Levine 185 103 0 23 Jun 2020
Locally Masked Convolution for Autoregressive ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 142 32 0 22 Jun 2020
Differentiable Augmentation for Data-Efficient GAN TrainingNeural Information Processing Systems (NeurIPS), 2025 Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 351 627 0 18 Jun 2020
Score-Guided Generative Adversarial Networks Minhyeok Lee Junhee Seok EGVM 116 17 0 09 Apr 2020
An Equivalence between Bayesian Priors and Penalties in Variational Inference Pierre Wolinski Guillaume Charpiat Yann Ollivier BDL 105 1 0 01 Feb 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 166 15 0 08 Jan 2020