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Synthetic Data from Diffusion Models Improves ImageNet Classification

Synthetic Data from Diffusion Models Improves ImageNet Classification

17 April 2023
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
    VLMDiffM
ArXiv (abs)PDFHTML

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

50 / 251 papers shown
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
Abhipsa Basu
Aviral Gupta
Abhijnya Bhat
R. Venkatesh Babu
DiffM
338
0
0
11 Nov 2025
Generative Hints
Generative Hints
Andy Dimnaku
Abdullah Yusuf Kavranoğlu
Yaser Abu-Mostafa
196
0
0
04 Nov 2025
NSYNC: Negative Synthetic Image Generation for Contrastive Training to Improve Stylized Text-To-Image Translation
NSYNC: Negative Synthetic Image Generation for Contrastive Training to Improve Stylized Text-To-Image Translation
Serkan Ozturk
Samet Hicsonmez
Pinar Duygulu
DiffM
349
0
0
03 Nov 2025
S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
Orest Kupyn
Hirokatsu Kataoka
Christian Rupprecht
128
1
0
24 Oct 2025
Salient Concept-Aware Generative Data Augmentation
Salient Concept-Aware Generative Data Augmentation
Tianchen Zhao
Xuanbai Chen
Zhihua Li
J. Fang
Dongsheng An
Xiang Xu
Zhuowen Tu
Yifan Xing
DiffM
223
0
0
16 Oct 2025
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
Weikai Huang
Jieyu Zhang
Taoyang Jia
Chenhao Zheng
Ziqi Gao
J. S. Park
Winson Han
Ranjay Krishna
226
0
0
10 Oct 2025
High-dimensional Analysis of Synthetic Data Selection
High-dimensional Analysis of Synthetic Data Selection
Parham Rezaei
Filip Kovačević
Francesco Locatello
Marco Mondelli
168
0
0
09 Oct 2025
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Xiaomeng Fan
Yuchuan Mao
Zhi Gao
Yuwei Wu
Jin Chen
Yunde Jia
167
1
0
06 Oct 2025
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Ruitao Wu
Yifan Zhao
Guangyao Chen
Jia Li
235
0
0
04 Oct 2025
Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
Kyeongryeol Go
132
0
0
30 Sep 2025
Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
Training-Free Synthetic Data Generation with Dual IP-Adapter Guidance
Luc Boudier
Loris Manganelli
Eleftherios Tsonis
Nicolas Dufour
Vicky Kalogeiton
DiffMVLM
113
1
0
26 Sep 2025
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
Shumpei Takezaki
Ryoma Bise
Shinnosuke Matsuo
DiffM
161
0
0
30 Aug 2025
Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders
Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders
Faizan Farooq Khan
Vladan Stojnić
Zakaria Laskar
Mohamed Elhoseiny
Giorgos Tolias
DiffMVLM
100
0
0
29 Aug 2025
Increasing the Utility of Synthetic Images through Chamfer Guidance
Increasing the Utility of Synthetic Images through Chamfer Guidance
Nicola DallÁsen
Xiaofeng Zhang
Reyhane Askari Hemmat
Melissa Hall
Jakob Verbeek
Adriana Romero Soriano
M. Drozdzal
237
2
0
14 Aug 2025
Enhancing Small-Scale Dataset Expansion with Triplet-Connection-based Sample Re-Weighting
Enhancing Small-Scale Dataset Expansion with Triplet-Connection-based Sample Re-Weighting
Ting Xiang
Changjian Chen
Zhuo Tang
Qifeng Zhang
Fei Lyu
Li Yang
Jiapeng Zhang
KenLi Li
MedIm
165
0
0
11 Aug 2025
Generative Head-Mounted Camera Captures for Photorealistic Avatars
Generative Head-Mounted Camera Captures for Photorealistic Avatars
Shaojie Bai
Seunghyeon Seo
Yida Wang
Chenghui Li
Owen Wang
...
Tianyang Ma
Jason M. Saragih
S. Wei
Nojun Kwak
Hyung Jun Kim
212
0
0
08 Jul 2025
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
Parsa Rahimi
S´ebastien Marcel
DiffM
271
1
0
11 Jun 2025
GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance
GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance
Jirí Navrátil
Jarret Ross
Payel Das
Youssef Mroueh
Samuel C. Hoffman
Vijil Chenthamarakshan
Brian M. Belgodere
204
0
0
05 Jun 2025
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
Lukás Picek
Elisa Belotti
Michal Bojda
Ludek Bufka
Vojtěch Čermák
...
Jakub Straka
Ludek Toman
Vlado Trulık
Martin Vana
Miroslav Kutal
311
1
0
05 Jun 2025
PixCell: A generative foundation model for digital histopathology images
PixCell: A generative foundation model for digital histopathology images
Srikar Yellapragada
Alexandros Graikos
Zilinghan Li
Kostas Triaridis
Varun Belagali
...
Tahsin M. Kurc
Rajarsi R. Gupta
Ravi K. Madduri
Joel H. Saltz
Dimitris Samaras
DiffMMedIm
350
2
0
05 Jun 2025
RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
Hicham Eddoubi
Jonas Ricker
Federico Cocchi
Lorenzo Baraldi
Angelo Sotgiu
...
Marcella Cornia
Lorenzo Baraldi
Asja Fischer
Rita Cucchiara
Battista Biggio
AAML
527
0
0
04 Jun 2025
Do We Need All the Synthetic Data? Targeted Synthetic Image Augmentation via Diffusion Models
Do We Need All the Synthetic Data? Targeted Synthetic Image Augmentation via Diffusion Models
Dang Nguyen
Jiping Li
Jinghao Zheng
Baharan Mirzasoleiman
DiffM
244
1
0
27 May 2025
Taming Diffusion for Dataset Distillation with High Representativeness
Taming Diffusion for Dataset Distillation with High Representativeness
Lin Zhao
Yushu Wu
Xinru Jiang
Jianyang Gu
Yanzhi Wang
Xiaolin Xu
Pu Zhao
Xue Lin
DD
723
7
0
23 May 2025
Generative Data Augmentation for Object Point Cloud Segmentation
Generative Data Augmentation for Object Point Cloud Segmentation
Dekai Zhu
Stefan Gavranovic
Flavien Boussuge
Benjamin Busam
Slobodan Ilic
DiffM3DPCMedIm
363
1
0
23 May 2025
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
Tianduo Wang
Lu Xu
Wei Lu
Shanbo Cheng
287
1
0
22 May 2025
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs
Heiko Oppel
Andreas Spilz
M. Munz
DiffM
209
1
0
20 May 2025
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
Shiming Chen
Dingjie Fu
Salman Khan
Fahad Shahbaz Khan
VLM
345
2
0
17 May 2025
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation
Yixuan Dong
Fang-Yi Su
Jung-Hsien Chiang
DiffM
236
1
0
17 May 2025
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui
Bin-Bin Gao
Jing Liu
Chengjie Wang
Yongpeng Wu
DiffM
244
0
0
14 May 2025
Addressing degeneracies in latent interpolation for diffusion models
Addressing degeneracies in latent interpolation for diffusion modelsScandinavian Conference on Image Analysis (SCIA), 2025
Erik Landolsi
Fredrik Kahl
DiffM
312
0
0
12 May 2025
Unsupervised Learning for Class Distribution Mismatch
Unsupervised Learning for Class Distribution Mismatch
Pan Du
Wangbo Zhao
Xinai Lu
Nian Liu
Hao Sun
...
Suyun Zhao
Wei Xu
Cuiping Li
Kai Wang
Yang You
285
0
0
11 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah
Wei Chen
Ickjai Lee
Euijoon Ahn
MedIm
441
2
0
09 May 2025
Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognition
Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognition
Yuki Hirakawa
Ryotaro Shimizu
282
0
0
28 Apr 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
DIVE: Inverting Conditional Diffusion Models for Discriminative TasksIEEE transactions on multimedia (TMM), 2025
Yinqi Li
Hong Chang
Ruibing Hou
Shiguang Shan
Xilin Chen
DiffM
327
1
0
24 Apr 2025
Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection
Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection
Jens Petersen
Davide Abati
A. Habibian
Auke Wiggers
ViT3DPC
267
1
0
23 Apr 2025
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation
Bram Vanherle
Brent Zoomers
Jeroen Put
F. Reeth
Nick Michiels
3DGS
206
2
0
11 Apr 2025
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces
IGG: Image Generation Informed by Geodesic Dynamics in Deformation SpacesInformation Processing in Medical Imaging (IPMI), 2025
Nian Wu
Nivetha Jayakumar
Jiarui Xing
Miaomiao Zhang
352
1
0
09 Apr 2025
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
558
0
0
08 Apr 2025
Diffusion models applied to skin and oral cancer classification
Diffusion models applied to skin and oral cancer classification
José J. M. Uliana
Renato A. Krohling
DiffMMedIm
407
0
0
28 Mar 2025
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
Minho Park
S. Park
Jungsoo Lee
Hyojin Park
Kyuwoong Hwang
Fatih Porikli
Jaegul Choo
Sungha Choi
249
1
0
28 Mar 2025
TULIP: Towards Unified Language-Image Pretraining
TULIP: Towards Unified Language-Image Pretraining
Zineng Tang
Long Lian
Seun Eisape
Xudong Wang
Roei Herzig
Adam Yala
Alane Suhr
Trevor Darrell
David M. Chan
VLMCLIPMLLM
448
9
0
19 Mar 2025
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Zeyi Huang
Utkarsh Ojha
Zeyi Huang
Donghyun Lee
Yong Jae Lee
OODVLM
413
0
1
17 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
434
1
0
16 Mar 2025
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
Parsa Rahimi
Damien Teney
S´ebastien Marcel
480
2
0
14 Mar 2025
Context-guided Responsible Data Augmentation with Diffusion Models
Khawar Islam
Naveed Akhtar
333
4
0
12 Mar 2025
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets
H. Kniesel
Pedro Hermosilla
Timo Ropinski
333
0
0
12 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Bin Wu
Wuxuan Shi
Jinqiao Wang
Mang Ye
CLLVLM
263
0
0
06 Mar 2025
Compositional World Knowledge leads to High Utility Synthetic data
Compositional World Knowledge leads to High Utility Synthetic data
Sachit Gaudi
Gautam Sreekumar
Vishnu Boddeti
298
0
0
06 Mar 2025
GenColor: Generative Color-Concept Association in Visual DesignInternational Conference on Human Factors in Computing Systems (CHI), 2025
Yihan Hou
Xingchen Zeng
Yusong Wang
Manling Yang
Xiaojiao Chen
Wei Zeng
DiffM
342
3
0
05 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2025
Jiang Zhang
Rohan Sequeira
Konstantinos Psounis
SyDa
337
0
0
05 Mar 2025
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