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Diffusion Models in Vision: A Survey

10 September 2022

Florinel-Alin Croitoru

Papers citing "Diffusion Models in Vision: A Survey"

41 / 191 papers shown

Title
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 131 2,984 0 17 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 62 128 0 15 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 347 6,551 0 26 Nov 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 41 9 0 16 Oct 2020
Non-saturating GAN training as divergence minimization Matt Shannon Ben Poole Soroosh Mariooryad Tom Bagby Eric Battenberg David Kao Daisy Stanton RJ Skerry-Ryan GAN 42 17 0 15 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 286 7,454 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 68 126 0 11 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 663 18,276 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 246 4,097 0 17 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 109 1,232 0 31 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 455 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 375 18,859 0 13 Feb 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,295 0 27 Aug 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 117 1,121 0 25 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 115 418 0 17 May 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization Taesung Park Ming-Yuan Liu Ting-Chun Wang Jun-Yan Zhu 156 2,691 0 18 Mar 2019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video Radu Tudor Ionescu Fahad Shahbaz Khan Mariana-Iuliana Georgescu Ling Shao 169 327 0 11 Dec 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 159 3,736 0 01 Sep 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,349 0 10 Jul 2018
An Unsupervised Learning Model for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca 85 628 0 07 Feb 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 228 5,061 0 02 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 728 132,199 0 12 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 125 5,553 0 30 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 332 1,274 0 06 Mar 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 105 943 0 19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,110 0 17 Jan 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,353 0 02 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin Anton Milan Chunhua Shen Ian Reid AI4TS SSeg 261 2,851 0 20 Nov 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 97 435 0 14 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,566 0 07 Oct 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 155 6,549 0 21 Jun 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,517 0 16 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,062 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 275 78 0 26 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 266 14,018 0 19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 129 2,266 0 30 Oct 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 269 12,456 0 24 Jun 2012