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2304.08466
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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
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Computer Vision and Pattern Recognition (CVPR), 2025
Haoxin Li
Boyang Li
CoGe
709
4
0
03 Mar 2025
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
Pu Yang
Yunzhen Feng
Ziyuan Chen
Yuhang Wu
Zhuoyuan Li
DiffM
371
1
0
31 Jan 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
396
33
0
28 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Neural Information Processing Systems (NeurIPS), 2024
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
798
15
0
03 Jan 2025
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data
Yuanpeng Tu
Xi Chen
Ser-Nam Lim
Hengshuang Zhao
449
1
0
03 Jan 2025
Personalized Representation from Personalized Generation
Shobhita Sundaram
Julia Chae
Yonglong Tian
Sara Beery
Phillip Isola
340
4
0
20 Dec 2024
Dataset Augmentation by Mixing Visual Concepts
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Abdullah Al Rahat
Hemanth Venkateswara
DiffM
325
0
0
19 Dec 2024
Financial Fine-tuning a Large Time Series Model
IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2024
Xinghong Fu
Masanori Hirano
Kentaro Imajo
AI4TS
AIFin
348
6
0
13 Dec 2024
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
Khawar Islam
M. Zaheer
Arif Mahmood
Karthik Nandakumar
Naveed Akhtar
DiffM
668
7
0
03 Dec 2024
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
309
2
0
02 Dec 2024
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
Xingsong Ye
Yongkun Du
Yunbo Tao
Z. Chen
DiffM
439
2
0
02 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
1.3K
1
0
01 Dec 2024
Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data
Zerun Wang
Jiafeng Mao
Xueting Wang
Toshihiko Yamasaki
DiffM
437
1
0
27 Nov 2024
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Computer Vision and Pattern Recognition (CVPR), 2024
Sudarshan Rajagopalan
Nithin Gopalakrishnan Nair
Jay N. Paranjape
Vishal M. Patel
DiffM
495
8
0
26 Nov 2024
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion
Conference on Multimedia Information Processing and Retrieval (MIPR), 2024
Mohamed Benkedadra
Dany Rimez
Tiffanie Godelaine
Natarajan Chidambaram
Hamed Razavi Khosroshahi
Horacio Tellez
Matei Mancas
Benoît Macq
Sidi Ahmed Mahmoudi
DiffM
276
2
0
25 Nov 2024
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models
Harsh Goel
Sai Shankar Narasimhan
Oguzhan Akcin
Sandeep Chinchali
DiffM
354
3
0
25 Nov 2024
TPIE: Topology-Preserved Image Editing With Text Instructions
Nivetha Jayakumar
Srivardhan Reddy Gadila
Tonmoy Hossain
Yangfeng Ji
Miaomiao Zhang
DiffM
MedIm
442
1
0
22 Nov 2024
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification
Industrial Conference on Data Mining (IDM), 2024
Minhee Jang
Juheon Son
Thanaporn Viriyasaranon
Junho Kim
Jang-Hwan Choi
MedIm
352
0
0
17 Nov 2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting
Adrian B. Chłopowiec
Adam R. Chłopowiec
Krzysztof Galus
Wojciech Cebula
Martin Tabakov
MedIm
271
0
0
05 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
Mohammad Zbeeb
Mohammad Ghorayeb
Mariam Salman
415
0
0
04 Nov 2024
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Suhyun Ahn
Wonjung Park
Jihoon Cho
Seunghyuck Park
Jinah Park
MedIm
237
2
0
29 Oct 2024
Decoupled Data Augmentation for Improving Image Classification
Ruoxin Chen
Zhe Wang
Ke-Yue Zhang
Shuang Wu
Jiamu Sun
Shouli Wang
Taiping Yao
Shouhong Ding
DiffM
346
4
0
29 Oct 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Neural Information Processing Systems (NeurIPS), 2024
Yuang Ai
Xiaoqiang Zhou
Huaibo Huang
Xiaotian Han
Ruihao Zhang
Quanzeng You
Hongxia Yang
299
33
0
24 Oct 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
352
8
0
17 Oct 2024
Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion
Yijun Liang
Shweta Bhardwaj
Wanrong Zhu
554
0
0
17 Oct 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
Zeliang Zhang
Xin Liang
Mingqian Feng
Susan Liang
Chenliang Xu
204
1
0
14 Oct 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He
Cheng Luo
Xiaole Xian
Bing Li
Siyang Song
...
Weicheng Xie
Linlin Shen
LinLin Shen
Bernard Ghanem
Xiangyu Yue
390
6
0
13 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Juil Sock
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
379
13
0
07 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Salma Abdel Magid
Weiwei Pan
Simon Warchol
Grace Guo
Junsik Kim
Mahia Rahman
Hanspeter Pfister
477
0
0
06 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
International Conference on Learning Representations (ICLR), 2024
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
280
1
0
03 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation
International Conference on Learning Representations (ICLR), 2024
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
266
4
0
02 Oct 2024
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
International Conference on Learning Representations (ICLR), 2024
Sreyan Ghosh
Sonal Kumar
Zhifeng Kong
Rafael Valle
Bryan Catanzaro
Dinesh Manocha
DiffM
422
6
0
02 Oct 2024
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
European Conference on Computer Vision (ECCV), 2024
Yi-Hao Peng
Faria Huq
Yue Jiang
Jason Wu
Amanda Li
Jeffrey P. Bigham
Amy Pavel
DiffM
251
10
0
30 Sep 2024
Illustrious: an Open Advanced Illustration Model
Sang Hyun Park
Jun Young Koh
Junha Lee
Joy Song
Dongha Kim
Hoyeon Moon
Hyunju Lee
Min Song
VLM
206
2
0
30 Sep 2024
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling
Kyuheon Jung
Yongdeuk Seo
Seongwoo Cho
Jaeyoung Kim
Hyun-seok Min
Sungchul Choi
88
7
0
25 Sep 2024
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Xinrui Zhou
Yuhao Huang
Haoran Dou
Shijing Chen
Ao Chang
...
Jie Jessie Ren
Ruobing Huang
Jun Cheng
Wufeng Xue
Dong Ni
MedIm
778
1
0
25 Sep 2024
EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Grégoire Petit
Nathan Palluau
Axel Bauer
Clemens Dlaska
213
1
0
11 Sep 2024
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2024
Quang-Huy Che
Duc-Tri Le
Vinh-Tiep Nguyen
D. Lam
Vinh-Tiep Nguyen
DiffM
774
2
0
09 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Computer Vision and Pattern Recognition (CVPR), 2024
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Yue Yu
Yan Yan
Liqiang Nie
DiffM
307
17
0
05 Sep 2024
Data Augmentation for Image Classification using Generative AI
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Fazle Rahat
M Shifat Hossain
Md Rubel Ahmed
Sumit Kumar Jha
Rickard Ewetz
VLM
245
11
0
31 Aug 2024
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
DiffM
452
0
0
31 Aug 2024
Contrastive Learning with Synthetic Positives
European Conference on Computer Vision (ECCV), 2024
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
378
4
0
30 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets
International Conference on Pattern Recognition (ICPR), 2024
Sven Oehri
Nikolas Ebert
Ahmed Abdullah
Didier Stricker
Oliver Wasenmüller
ViT
297
6
0
26 Aug 2024
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Bing Hu
Anita Layton
Helen Chen
MedIm
223
2
0
14 Aug 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model
European Conference on Computer Vision (ECCV), 2024
Yuhang Li
Jun Gao
Chen Chen
Yue Zhang
Jielei Zhang
DiffM
315
15
0
01 Aug 2024
Add-SD: Rational Generation without Manual Reference
Lingfeng Yang
Xinyu Zhang
Xiang Li
Jinwen Chen
Kun Yao
Qiang Chen
Errui Ding
Ling-Ling Liu
Jingdong Wang
Jian Yang
165
1
0
30 Jul 2024
Diffusion Feedback Helps CLIP See Better
International Conference on Learning Representations (ICLR), 2024
Wenxuan Wang
Quan-Sen Sun
Fan Zhang
Yepeng Tang
Jing Liu
Xinlong Wang
VLM
336
39
0
29 Jul 2024
Machine Unlearning using a Multi-GAN based Model
Amartya Hatua
Trung T. Nguyen
Andrew H. Sung
GAN
SyDa
MU
231
1
0
26 Jul 2024
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
Kwanyong Park
Kuniaki Saito
Donghyun Kim
VLM
CoGe
251
5
0
21 Jul 2024
Diffusion Models as Data Mining Tools
Ioannis Siglidis
Aleksander Holynski
Alexei A. Efros
Mathieu Aubry
Shiry Ginosar
DiffM
MedIm
240
3
0
20 Jul 2024
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