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Synthetic Data from Diffusion Models Improves ImageNet Classification
17 April 2023
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLM
DiffM
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Papers citing
"Synthetic Data from Diffusion Models Improves ImageNet Classification"
50 / 251 papers shown
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Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
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Felipe del Rio
Andres Carvallo De Ferari
Carlos Aspillaga
Eugenio Herrera-Berg
Cristian Buc Calderon
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233
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27 Sep 2023
Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
International Conference on Pattern Recognition (ICPR), 2023
Rafael-Edy Menadil
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
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215
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26 Sep 2023
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
IEEE 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
164
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26 Sep 2023
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2023
Quang H. Nguyen
T. Vu
Anh Tran
Kim Dan Nguyen
DiffM
489
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25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
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Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
332
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23 Sep 2023
PathLDM: Text conditioned Latent Diffusion Model for Histopathology
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Srikar Yellapragada
Alexandros Graikos
Prateek Prasanna
Tahsin M. Kurc
Joel H. Saltz
Dimitris Samaras
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357
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01 Sep 2023
Augmenting medical image classifiers with synthetic data from latent diffusion models
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James A. Diao
Luke Melas-Kyriazi
Matthew Groh
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V. Rotemberg
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Arjun K. Manrai
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236
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23 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
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Chandra Kiran Reddy Evuru
Sonal Kumar
Utkarsh Tyagi
Sakshi Singh
Sanjoy Chowdhury
Dinesh Manocha
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365
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19 Aug 2023
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Runyu Jiao
Yi Wan
Fabio Poiesi
Yiming Wang
356
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14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
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Mutian Xu
Chuhui Xue
Wenqing Zhang
Xiaoguang Han
Song Bai
Mike Zheng Shou
DiffM
235
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13 Aug 2023
Improving Human-Object Interaction Detection via Virtual Image Learning
ACM Multimedia (ACM MM), 2023
Shuman Fang
Shuai Liu
Jie Li
Guannan Jiang
Xianming Lin
Rongrong Ji
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290
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04 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
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Yuxi Wang
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Xiao Chen
Zhaoxiang Zhang
Zhen Lei
Qing Li
DiffM
311
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02 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Pattern Recognition Letters (PR), 2023
Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
DiffM
390
11
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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
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234
106
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27 Jul 2023
Synthetic pre-training for neural-network interatomic potentials
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Kathryn T. Baker
Volker L. Deringer
AI4CE
260
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24 Jul 2023
Improving Multimodal Datasets with Image Captioning
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Thao Nguyen
S. Gadre
Gabriel Ilharco
Sewoong Oh
Ludwig Schmidt
VLM
263
125
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19 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
International Journal of Computer Vision (IJCV), 2023
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
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438
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17 Jul 2023
Self-Consuming Generative Models Go MAD
International 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
312
235
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04 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values
Yidong Ouyang
Liyan Xie
Chongxuan Li
Guang Cheng
DiffM
294
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02 Jul 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Neural Information Processing Systems (NeurIPS), 2023
Stephanie Fu
Netanel Y. Tamir
Shobhita Sundaram
Lucy Chai
Richard Y. Zhang
Tali Dekel
Phillip Isola
EGVM
381
224
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15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Chandramouli Shama Sastry
Sri Harsha Dumpala
Sageev Oore
279
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15 Jun 2023
Generating Images with 3D Annotations Using Diffusion Models
International 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
369
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13 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models
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Minguk Kang
Jaesik Park
311
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12 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
International Journal of Computer Vision (IJCV), 2023
Lin Li
Jianing Qiu
Michael W. Spratling
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154
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12 Jun 2023
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet
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Lauren Watson
Pedro Reviriego
José Alberto Hernández
Marc Juárez
Rik Sarkar
182
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08 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Maitreya Patel
Tejas Gokhale
Chitta Baral
Yezhou Yang
CoGe
269
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07 Jun 2023
Multi-modal Latent Diffusion
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Giulio Franzese
Pietro Michiardi
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264
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Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
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220
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Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
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Shuyu Yang
Yinan Zhou
Yaxiong Wang
Yujiao Wu
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Zhedong Zheng
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479
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05 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
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Pedro Sanchez
W. H. Pinaya
Grzegorz Jacenków
Sotirios A. Tsaftaris
Jorge Cardoso
167
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Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks
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Victoria Helus
152
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Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data
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Victoria Helus
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104
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StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Neural Information Processing Systems (NeurIPS), 2023
Yonglong Tian
Lijie Fan
Phillip Isola
Huiwen Chang
Dilip Krishnan
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444
206
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Toward Understanding Generative Data Augmentation
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Guoqiang Wu
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212
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Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
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Alyssa Umino
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Jiezhi Yang
Joseph E. Gonzalez
Trevor Darrell
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364
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Training on Thin Air: Improve Image Classification with Generated Data
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261
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Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
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Rethinking Data Augmentation for Tabular Data in Deep Learning
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Utility Theory of Synthetic Data Generation
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Analyzing Bias in Diffusion-based Face Generation Models
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The Role of Data Curation in Image Captioning
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Rami Ben-Ari
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Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
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Pierre Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
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Richard A. Young
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Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion
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Benedikt Kolbeinsson
K. Mikolajczyk
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