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 / 228 papers shown

Title
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation Yifan Zhang Bryan Hooi VLM 27 9 0 30 Nov 2023
Unsupervised Keypoints from Pretrained Diffusion Models Eric Hedlin Gopal Sharma Shweta Mahajan Xingzhe He Hossam N. Isack Abhishek Kar Helge Rhodin Andrea Tagliasacchi Kwang Moo Yi 13 7 0 29 Nov 2023
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery Zichen Tian Zhaozheng Chen Qianru Sun 25 1 0 29 Nov 2023
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation Jacob Schnell Jieke Wang Lu Qi Vincent Tao Hu Meng Tang DiffM 18 3 0 28 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai Tsung-Wei Ke Alexander C. Li Deepak Pathak Katerina Fragkiadaki TTA 24 15 0 27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 37 0 0 27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 35 27 0 27 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 19 6 0 22 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 25 15 0 15 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 24 3 0 06 Nov 2023
Market Concentration Implications of Foundation Models Jai Vipra Anton Korinek ELM 32 16 0 02 Nov 2023
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion David Marwood S. Baluja Y. Alon DiffM 57 5 0 31 Oct 2023
Semantic Generative Augmentations for Few-Shot Counting Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne VLM DiffM 19 4 0 26 Oct 2023
Synthetic Data as Validation Qixing Hu Alan L. Yuille Zongwei Zhou SyDa OOD 22 8 0 24 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models Lihe Yang Xiaogang Xu Bingyi Kang Yinghuan Shi Hengshuang Zhao 19 45 0 23 Oct 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Peichun Li Hanwen Zhang Yuan Wu Liping Qian Rong Yu Dusit Niyato X. Shen 25 25 0 21 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip H. S. Torr Bo-Lu Zhao 23 22 0 16 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 18 7 0 04 Oct 2023
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks Luca Scimeca Alexander Rubinstein A. Nicolicioiu Damien Teney Yoshua Bengio DiffM 26 2 0 03 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 25 18 0 03 Oct 2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association Qiyu Wu Mengjie Zhao Yutong He Lang Huang Junya Ono Hiromi Wakaki Yuki Mitsufuji 12 4 0 02 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection S. Sivaprasad Mario Fritz AAML 11 0 0 01 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 8 19 0 29 Sep 2023
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness Valentin Barriere Felipe del Rio Andres Carvallo De Ferari Carlos Aspillaga Eugenio Herrera-Berg Cristian Buc Calderon DiffM 22 0 0 27 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models Rafael-Edy Menadil Mariana-Iuliana Georgescu Radu Tudor Ionescu VLM DiffM 17 0 0 26 Sep 2023
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch Shuo Sun Zekai Gu Tianchen Sun Jiawei Sun Chengran Yuan Yuhang Han Dongen Li Marcelo H ANG Jr 22 14 0 26 Sep 2023
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation Quang H. Nguyen T. Vu Anh Tran Kim Dan Nguyen DiffM 17 83 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 20 52 0 23 Sep 2023
PathLDM: Text conditioned Latent Diffusion Model for Histopathology Srikar Yellapragada Alexandros Graikos Prateek Prasanna Tahsin M. Kurc Joel H. Saltz Dimitris Samaras AI4CE 27 34 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 12 14 0 23 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 20 1 0 19 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras Runyu Jiao Yi Wan Fabio Poiesi Yiming Wang 27 9 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 43 6 0 13 Aug 2023
Improving Human-Object Interaction Detection via Virtual Image Learning Shuman Fang Shuai Liu Jie Li Guannan Jiang Xianming Lin R. Ji VLM 17 5 0 04 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation Jingfan Chen Yuxi Wang P. Wang Xiao Chen Zhaoxiang Zhang Zhen Lei Qing Li DiffM 19 5 0 02 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 21 3 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 40 63 0 27 Jul 2023
Synthetic pre-training for neural-network interatomic potentials John L A Gardner Kathryn T. Baker Volker L. Deringer AI4CE 14 18 0 24 Jul 2023
Improving Multimodal Datasets with Image Captioning Thao Nguyen S. Gadre Gabriel Ilharco Sewoong Oh Ludwig Schmidt VLM 19 70 0 19 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo-Lu Zhao Dacheng Tao VLM 24 19 0 17 Jul 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun H. Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 18 139 0 04 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 21 22 0 02 Jul 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 27 95 0 15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 25 0 0 15 Jun 2023
Generating Images with 3D Annotations Using Diffusion Models Wufei Ma Qihao Liu Jiahao Wang Angtian Wang Xiaoding Yuan ... Ruxiao Duan Yongrui Qi Adam Kortylewski Yaoyao Liu Alan Yuille DiffM 21 4 0 13 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 16 29 0 12 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 21 4 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 14 53 0 08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models Maitreya Patel Tejas Gokhale Chitta Baral Yezhou Yang CoGe 14 14 0 07 Jun 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 16 13 0 07 Jun 2023