Rethinking cluster-conditioned diffusion models

1 March 2024

Papers citing "Rethinking cluster-conditioned diffusion models"

45 / 45 papers shown

Title
Guided Diffusion from Self-Supervised Diffusion Features Vincent Tao Hu Yunlu Chen Mathilde Caron Yuki M. Asano Cees G. M. Snoek Bjorn Ommer 75 11 0 14 Dec 2023
What Do Self-Supervised Vision Transformers Learn? Namuk Park Wonjae Kim Byeongho Heo Taekyung Kim Sangdoo Yun SSL 151 80 1 01 May 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 118 2,434 0 19 Dec 2022
Why Are Conditional Generative Models Better Than Unconditional Ones? Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu DiffM 75 24 0 01 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 94 89 0 28 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 110 173 0 24 Nov 2022
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 111 21 0 19 Oct 2022
Self-Guided Diffusion Models Vincent Tao Hu David W. Zhang Yuki M. Asano Gertjan J. Burghouts Cees G. M. Snoek 96 33 0 12 Oct 2022
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance Susung Hong Gyuseong Lee Wooseok Jang Seung Wook Kim DiffM 98 105 0 03 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,963 0 26 Jul 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 215 2,022 0 01 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 206 529 0 13 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,916 0 13 Apr 2022
The Role of ImageNet Classes in Fréchet Inception Distance Tuomas Kynkaanniemi Tero Karras M. Aittala Timo Aila J. Lehtinen EGVM VLM 114 209 0 11 Mar 2022
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 77 65 0 16 Dec 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 79 168 0 27 Nov 2021
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 61 193 0 26 Nov 2021
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 66 97 0 23 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 88 742 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 477 7,827 0 11 Nov 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 292 2,841 0 15 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 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 724 6,135 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 159 1,871 0 05 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 238 282 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 353 6,586 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 292 7,492 0 06 Oct 2020
Diverse Image Generation via Self-Conditioned GANs Steven Liu Tongzhou Wang David Bau Jun-Yan Zhu Antonio Torralba SyDa 95 107 0 18 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 398 6,844 0 13 Jun 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 131 407 0 12 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 170 1,887 0 11 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 113 540 0 25 May 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 139 975 0 11 May 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 75 539 0 12 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,866 0 13 Feb 2020
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 93 205 0 16 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 123 777 0 13 Nov 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 93 852 0 17 Jul 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 171 3,480 0 07 Oct 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 102 2,880 0 19 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 491 43,698 0 17 Sep 2014