Synthetic Data from Diffusion Models Improves ImageNet Classification

17 April 2023

David J. Fleet

Papers citing "Synthetic Data from Diffusion Models Improves ImageNet Classification"

50 / 250 papers shown

Title
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 270 30 0 29 Sep 2023
Targeted Image Data Augmentation Increases Basic Skills Captioning RobustnessIEEE Games Entertainment Media Conference (IEEE GEM), 2023 Valentin Barriere Felipe del Rio Andres Carvallo De Ferari Carlos Aspillaga Eugenio Herrera-Berg Cristian Buc Calderon DiffM 208 0 0 27 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion ModelsInternational Conference on Pattern Recognition (ICPR), 2023 Rafael-Edy Menadil Mariana-Iuliana Georgescu Radu Tudor Ionescu VLM DiffM 145 0 0 26 Sep 2023
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from ScratchIEEE Robotics and Automation Letters (RA-L), 2023 Shuo Sun Zekai Gu Tianchen Sun Jiawei Sun Chengran Yuan Yuhang Han Dongen Li Marcelo H. Ang Jr 127 23 0 26 Sep 2023
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2023 Quang H. Nguyen T. Vu Anh Tran Kim Dan Nguyen DiffM 411 128 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Xuefeng Du Yiyou Sun Xiaojin Zhu Shouqing Yang 257 84 0 23 Sep 2023
PathLDM: Text conditioned Latent Diffusion Model for HistopathologyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Srikar Yellapragada Alexandros Graikos Prateek Prasanna Tahsin M. Kurc Joel H. Saltz Dimitris Samaras AI4CE 231 52 0 01 Sep 2023
Augmenting medical image classifiers with synthetic data from latent diffusion models Luke Sagers James A. Diao Luke Melas-Kyriazi Matthew Groh Pranav Rajpurkar A. Adamson V. Rotemberg Roxana Daneshjou Arjun K. Manrai DiffM MedIm 181 19 0 23 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious CorrelationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 306 3 0 19 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving camerasArtificial Intelligence Review (AIR), 2023 Runyu Jiao Yi Wan Fabio Poiesi Yiming Wang 296 18 0 14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks David Junhao Zhang Mutian Xu Chuhui Xue Wenqing Zhang Xiaoguang Han Song Bai Mike Zheng Shou DiffM 197 7 0 13 Aug 2023
Improving Human-Object Interaction Detection via Virtual Image LearningACM Multimedia (ACM MM), 2023 Shuman Fang Shuai Liu Jie Li Guannan Jiang Xianming Lin Rongrong Ji VLM 254 8 0 04 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation Jingfan Chen Yuxi Wang Peng Wang Xiao Chen Zhaoxiang Zhang Zhen Lei Qing Li DiffM 273 8 0 02 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance ProblemsPattern Recognition Letters (PR), 2023 Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 300 11 0 02 Aug 2023
Generative AI for Medical Imaging: extending the MONAI Framework W. H. Pinaya M. Graham E. Kerfoot Petru-Daniel Tudosiu J. Dafflon ... Andrew Feng Marc Modat P. Nachev Sebastien Ourselin M. Jorge Cardoso SyDa MedIm 180 102 0 27 Jul 2023
Synthetic pre-training for neural-network interatomic potentials John L A Gardner Kathryn T. Baker Volker L. Deringer AI4CE 178 27 0 24 Jul 2023
Improving Multimodal Datasets with Image CaptioningNeural Information Processing Systems (NeurIPS), 2023 Thao Nguyen S. Gadre Gabriel Ilharco Sewoong Oh Ludwig Schmidt VLM 183 121 0 19 Jul 2023
Image Captions are Natural Prompts for Text-to-Image ModelsInternational Journal of Computer Vision (IJCV), 2023 Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 316 23 0 17 Jul 2023
Self-Consuming Generative Models Go MADInternational Conference on Learning Representations (ICLR), 2023 Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 238 218 0 04 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 247 35 0 02 Jul 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic DataNeural Information Processing Systems (NeurIPS), 2023 Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 291 209 0 15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust ClassifiersNeural Information Processing Systems (NeurIPS), 2023 Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 217 3 0 15 Jun 2023
Generating Images with 3D Annotations Using Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Wufei Ma Qihao Liu Jiahao Wang Angtian Wang Xiaoding Yuan ... Ruxiao Duan Yongrui Qi Adam Kortylewski Yaoyao Liu Alan Yuille DiffM 258 14 0 13 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 247 41 0 12 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data AugmentationInternational Journal of Computer Vision (IJCV), 2023 Lin Li Jianing Qiu Michael W. Spratling AAML 120 8 0 12 Jun 2023
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet Gonzalo Martínez Lauren Watson Pedro Reviriego José Alberto Hernández Marc Juárez Rik Sarkar 113 65 0 08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Maitreya Patel Tejas Gokhale Chitta Baral Yezhou Yang CoGe 174 16 0 07 Jun 2023
Multi-modal Latent DiffusionEntropy (Entropy), 2023 Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 191 15 0 07 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsScientific Data (Sci Data), 2023 Muhammad Usman Akbar Måns Larsson Anders Eklund DiffM MedIm 168 49 0 05 Jun 2023
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search BenchmarkACM Multimedia (ACM MM), 2023 Shuyu Yang Yinan Zhou Yaxiong Wang Yujiao Wu Li Zhu Zhedong Zheng VLM DiffM 377 133 0 05 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 140 21 0 02 Jun 2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks Natalie Abreu Nathan Vaska Victoria Helus 106 0 0 01 Jun 2023
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data Nathan Vaska Victoria Helus LRM 67 1 0 01 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation LearnersNeural Information Processing Systems (NeurIPS), 2023 Yonglong Tian Lijie Fan Phillip Isola Huiwen Chang Dilip Krishnan VLM DiffM 349 203 0 01 Jun 2023
Toward Understanding Generative Data AugmentationNeural Information Processing Systems (NeurIPS), 2023 Chenyu Zheng Guoqiang Wu Chongxuan Li 170 40 0 27 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationNeural Information Processing Systems (NeurIPS), 2023 Lisa Dunlap Alyssa Umino Han Zhang Jiezhi Yang Joseph E. Gonzalez Trevor Darrell DiffM 258 110 0 25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 213 61 0 24 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 165 24 0 22 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 156 20 0 17 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 449 5 0 17 May 2023
Analyzing Bias in Diffusion-based Face Generation Models Malsha V. Perera Vishal M. Patel DiffM 141 52 0 10 May 2023
The Role of Data Curation in Image CaptioningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Wenyan Li Jonas F. Lotz Chen Qiu Desmond Elliott DiffM 204 8 0 05 May 2023
Generating images of rare concepts using pre-trained diffusion modelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 387 62 0 27 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offsIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023 Brian M. Belgodere Pierre Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 393 17 0 21 Apr 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 212 22 0 20 Apr 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 242 21 0 15 Mar 2023
Effective Data Augmentation With Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 370 333 0 07 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 238 111 0 05 Feb 2023
Multi-Class Segmentation from Aerial Views using Recursive Noise DiffusionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Benedikt Kolbeinsson K. Mikolajczyk DiffM 365 14 0 01 Dec 2022
Expanding Small-Scale Datasets with Guided ImaginationNeural Information Processing Systems (NeurIPS), 2022 Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 400 65 0 25 Nov 2022