Self-Guided Diffusion Models

12 October 2022

Papers citing "Self-Guided Diffusion Models"

50 / 62 papers shown

Title
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 106 31 0 27 Aug 2023
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 45 3,786 0 26 Jul 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 278 177 0 30 Jun 2022
Compositional Visual Generation with Composable Diffusion Models Nan Liu Shuang Li Yilun Du Antonio Torralba J. Tenenbaum DiffM CoGe 99 510 0 03 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 212 49 0 30 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 214 5,904 0 23 May 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 66 160 0 16 May 2022
Self-Supervised Learning of Object Parts for Semantic Segmentation A. Ziegler Yuki M. Asano SSL OCL 45 101 0 27 Apr 2022
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 53 314 0 14 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 252 6,768 0 13 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval Shelly Sheynin Oron Ashual Adam Polyak Uriel Singer Oran Gafni Eliya Nachmani Yaniv Taigman VLM SyDa DiffM 34 115 0 06 Apr 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences Mark Hamilton Zhoutong Zhang Bharath Hariharan Noah Snavely William T. Freeman 25 237 0 16 Mar 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 88 262 0 16 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 192 15,081 0 20 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 30 62 0 16 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 91 423 0 30 Nov 2021
LAFITE: Towards Language-Free Training for Text-to-Image Generation Yufan Zhou Ruiyi Zhang Changyou Chen Chunyuan Li Chris Tensmeyer Tong Yu Jiuxiang Gu Jinhui Xu Tong Sun VLM 50 166 0 27 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 68 518 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 348 7,600 0 11 Nov 2021
SOFT: Softmax-free Transformer with Linear Complexity Jiachen Lu Jinghan Yao Junge Zhang Martin Danelljan Hang Xu Weiguo Gao Chunjing Xu Thomas B. Schon Li Zhang 24 163 0 22 Oct 2021
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 201 198 0 29 Sep 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 224 134 0 10 Sep 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 118 1,089 0 01 Jul 2021
Large-Scale Unsupervised Object Discovery Huy V. Vo Elena Sizikova Cordelia Schmid P. Pérez Jean Ponce ObjD 105 55 0 12 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip Torr UQCV 77 86 0 06 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 108 7,639 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 521 5,920 0 29 Apr 2021
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations Andreas Panteli Jonas Teuwen H. Horlings E. Gavves 33 3 0 21 Apr 2021
Partition-Guided GANs Mohammadreza Armandpour A. Sadeghian Chunyuan Li Mingyuan Zhou GAN 42 19 0 02 Apr 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering Jang Hyun Cho Utkarsh Mall Kavita Bala B. Hariharan 40 194 0 30 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 507 28,659 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 284 4,873 0 24 Feb 2021
Data InStance Prior (DISP) in Generative Adversarial Networks Puneet Mangla Nupur Kumari M. Singh Balaji Krishnamurthy V. Balasubramanian GAN 22 10 0 08 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 226 6,293 0 26 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 33 13 0 27 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 80 7,166 0 06 Oct 2020
Toward unsupervised, multi-object discovery in large-scale image collections Huy V. Vo P. Pérez Jean Ponce OCL 30 74 0 06 Jul 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 92 1,716 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 208 17,550 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 78 4,032 0 17 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 228 12,847 0 26 May 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 75 11,959 0 13 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 63 769 0 13 Nov 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 112 2,385 0 13 Jun 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 53 157 0 06 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 477 10,466 0 12 Dec 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 44 302 0 27 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 191 5,363 0 28 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 48 844 0 17 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 163 3,272 0 21 Mar 2018