Diffusion-Based Representation Learning

29 May 2021

Stefan Bauer

Papers citing "Diffusion-Based Representation Learning"

50 / 50 papers shown

Title
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li Zekai Zhang Xiang Li Siyi Chen Zhihui Zhu Peng Wang Qing Qu DiffM 136 1 0 09 Feb 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 134 0 0 29 Nov 2024
Assessing Open-world Forgetting in Generative Image Model Customization Héctor Laria Alex Gomez-Villa Imad Eddine Marouf Bogdan Raducanu Bogdan Raducanu VLM DiffM 85 0 0 18 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng Yuyan Ni Yan Lu Zhi-Ming Ma Wei-Ying Ma Yanyan Lan 76 6 0 14 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 142 85 0 09 Oct 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 216 21 0 28 Feb 2024
Diffusion Models for Video Prediction and Infilling Tobias Höppe Arash Mehrjou Stefan Bauer Didrik Nielsen Andrea Dittadi DiffM VGen 88 135 0 15 Jun 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 204 1,610 0 07 Apr 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 70 118 0 02 Jan 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 114 431 0 30 Nov 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 173 1,120 0 01 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 151 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 219 7,831 0 11 May 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 87 193 0 30 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 141 663 0 22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 233 277 0 07 Jan 2021
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 330 6,453 0 26 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 260 7,356 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 149 1,456 0 21 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 63 126 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 66 791 0 02 Sep 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 102 286 0 14 Aug 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 619 18,036 0 19 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 230 4,074 0 17 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 230 1,151 0 16 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 363 6,797 0 13 Jun 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 66 270 0 02 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 361 18,752 0 13 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 243 3,902 0 12 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 124 543 0 04 Jul 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 115 1,466 0 29 Nov 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 110 180 0 09 Nov 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks Hoang Thanh-Tung T. Tran GAN 39 58 0 11 Jul 2018
Deep Energy Estimator Networks Saeed Saremi Arash Mehrjou Bernhard Schölkopf Aapo Hyvarinen 54 75 0 21 May 2018
Tempered Adversarial Networks Mehdi S. M. Sajjadi Giambattista Parascandolo Arash Mehrjou Bernhard Schölkopf GAN 49 28 0 12 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 278 9,760 0 25 Oct 2017
Annealed Generative Adversarial Networks Arash Mehrjou Bernhard Schölkopf Saeed Saremi GAN 45 13 0 21 May 2017
Controlling Perceptual Factors in Neural Style Transfer Leon A. Gatys Alexander S. Ecker Matthias Bethge Aaron Hertzmann Eli Shechtman 34 464 0 23 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,321 0 13 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 149 1,655 0 02 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 126 1,145 0 05 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 293 6,931 0 12 Mar 2015
Scheduled denoising autoencoders Krzysztof J. Geras Charles Sutton 87 47 0 12 Jun 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012