Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2304.08466
Cited By
Synthetic Data from Diffusion Models Improves ImageNet Classification
17 April 2023
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLM
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Synthetic Data from Diffusion Models Improves ImageNet Classification"
50 / 251 papers shown
Training-free Composite Scene Generation for Layout-to-Image Synthesis
Jiaqi Liu
Tao Huang
Chang Xu
DiffM
235
10
0
18 Jul 2024
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim
Jessica Bader
Stephan Alaniz
Cordelia Schmid
Zeynep Akata
242
23
0
15 Jul 2024
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
Qin Lei
Jiang Zhong
Qizhu Dai
DiffM
263
8
0
11 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
350
5
0
04 Jul 2024
Precision at Scale: Domain-Specific Datasets On-Demand
Jesús M. Rodríguez-de-Vera
Imanol G. Estepa
Ignacio Sarasúa
Bhalaji Nagarajan
Petia Radeva
250
3
0
03 Jul 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli
Ohad Fried
451
11
0
20 Jun 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
282
1
0
18 Jun 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
Neural Information Processing Systems (NeurIPS), 2024
Xingming Long
Jie Zhang
Shiguang Shan
Xilin Chen
OODD
227
4
0
14 Jun 2024
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn
Christian Rupprecht
271
18
0
12 Jun 2024
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
Donggeun Ko
Sangwoo Jo
Dongjun Lee
Namjun Park
Jaekwang Kim
217
1
0
10 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach
Tiago Sousa
B. Ries
N. Guelfi
DiffM
286
10
0
10 Jun 2024
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park
S. Park
Jooyeol Yun
Jaegul Choo
VLM
241
0
0
08 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo
Junhao Zhao
Chunjiang Ge
Chaoqun Du
Zanlin Ni
Shiji Song
Humphrey Shi
Gao Huang
TTA
DiffM
255
8
0
06 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
399
1
0
05 Jun 2024
Generative Active Learning for Long-tailed Instance Segmentation
Huanyi Zheng
Chengxiang Fan
Hao Chen
Yongxu Liu
Weian Mao
Xiaogang Xu
Chunhua Shen
197
7
0
04 Jun 2024
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline
Jan Lippemeier
Stefanie Hittmeyer
Oliver Niehörster
Markus Lange-Hegermann
101
1
0
03 Jun 2024
Improving Text Generation on Images with Synthetic Captions
Jun Young Koh
Sang Hyun Park
Joy Song
DiffM
342
4
0
01 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
248
39
0
30 May 2024
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank Ruis
Alma M. Liezenga
Friso G. Heslinga
Luca Ballan
Thijs A. Eker
Richard J. M. den Hollander
Martin C. van Leeuwen
Judith Dijk
Wyke Huizinga
210
9
0
30 May 2024
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
Jingyuan Zhu
Shiyu Li
Yuxuan Liu
Ping Huang
Jiulong Shan
Huimin Ma
Jian Yuan
229
19
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CML
BDL
VLM
460
1
0
24 May 2024
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
Tarun Kalluri
Jihyeon Janel Lee
Kihyuk Sohn
Sahil Singla
Manmohan Chandraker
Joseph Z. Xu
Jeremiah Liu
290
2
0
22 May 2024
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
Zhiping Yu
Chenyang Liu
Liqin Liu
Z. Shi
Zhengxia Zou
VGen
236
41
0
22 May 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
Zoey Chen
Aaron Walsman
Marius Memmel
Kaichun Mo
Alex Fang
Karthikeya Vemuri
Alan Wu
Dieter Fox
Abhishek Gupta
AI4CE
VGen
388
69
0
19 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
300
11
0
13 May 2024
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
Bing Hu
Ashish Saragadam
Anita Layton
Helen Chen
DiffM
163
2
0
06 May 2024
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data
Leonhard Hennicke
C. Adriano
Holger Giese
Jan Mathias Koehler
Lukas Schott
DiffM
307
4
0
06 May 2024
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
Niclas Popp
J. H. Metzen
Matthias Hein
VLM
300
2
0
25 Apr 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking
Moritz Sturm
Lorenzo Cerrone
Fred A. Hamprecht
265
5
0
25 Apr 2024
RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
Guoxuan Chi
Zheng Yang
Chenshu Wu
Jingao Xu
Yuchong Gao
Yunhao Liu
Tony Xiao Han
DiffM
225
83
0
14 Apr 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
Khawar Islam
Muhammad Zaigham Zaheer
Arif Mahmood
Karthik Nandakumar
DiffM
273
86
0
05 Apr 2024
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models
Sean Farhat
Deming Chen
248
0
0
04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images
Sho Inayoshi
Aji Resindra Widya
Satoshi Ozaki
Junji Otsuka
Takeshi Ohashi
3DH
363
1
0
04 Apr 2024
Would Deep Generative Models Amplify Bias in Future Models?
Computer Vision and Pattern Recognition (CVPR), 2024
Tianwei Chen
Yusuke Hirota
Mayu Otani
Noa Garcia
Yuta Nakashima
220
24
0
04 Apr 2024
Diverse and Tailored Image Generation for Zero-shot Multi-label Classification
Knowledge-Based Systems (KBS), 2024
Kai Zhang
Zhixiang Yuan
Tao Huang
VLM
205
5
0
04 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
283
6
0
28 Mar 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
Zhicai Wang
Longhui Wei
Tan Wang
Heyu Chen
Yanbin Hao
Xiang Wang
Xiangnan He
Qi Tian
VLM
DiffM
282
38
0
28 Mar 2024
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
Binyuan Huang
Yuqing Wen
Yucheng Zhao
Yaosi Hu
Yingfei Liu
...
Tiancai Wang
Chi Zhang
Chang Wen Chen
Zhenzhong Chen
Xiangyu Zhang
291
21
0
28 Mar 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang
Fei Pan
Junmo Kim
In So Kweon
Chengzhi Mao
177
16
1
27 Mar 2024
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation
Aysim Toker
Marvin Eisenberger
Zorah Lähner
Laura Leal-Taixé
DiffM
312
49
0
25 Mar 2024
Generative Active Learning for Image Synthesis Personalization
ACM Multimedia (MM), 2024
Xu-Lu Zhang
Wengyu Zhang
Xiao Wei
Jinlin Wu
Zhaoxiang Zhang
Zhen Lei
Qing Li
299
5
0
22 Mar 2024
Generative Enhancement for 3D Medical Images
Lingting Zhu
Noel Codella
Dongdong Chen
Zhenchao Jin
Lu Yuan
Lequan Yu
DiffM
MedIm
326
14
0
19 Mar 2024
DreamDA: Generative Data Augmentation with Diffusion Models
Yunxiang Fu
Chaoqi Chen
Yu Qiao
Yizhou Yu
VLM
DiffM
219
24
0
19 Mar 2024
Do Generated Data Always Help Contrastive Learning?
Yifei Wang
Jizhe Zhang
Yisen Wang
DiffM
275
35
0
19 Mar 2024
Diffusion Models are Efficient Data Generators for Human Mesh Recovery
Yongtao Ge
Wenjia Wang
Yongfan Chen
Fanzhou Wang
Lei Yang
Hao Chen
Chunhua Shen
3DH
476
8
0
17 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
381
12
0
16 Mar 2024
Synth
2
^2
2
: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Sahand Sharifzadeh
Christos Kaplanis
Shreya Pathak
D. Kumaran
Anastasija Ilić
Jovana Mitrović
Charles Blundell
Andrea Banino
VLM
238
17
0
12 Mar 2024
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
Neural Information Processing Systems (NeurIPS), 2024
Jialu Li
Jaemin Cho
Yi-Lin Sung
Jaehong Yoon
Mohit Bansal
MoMe
DiffM
272
16
0
11 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2024
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
233
13
0
11 Mar 2024
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
European Conference on Computer Vision (ECCV), 2024
Xiaobin Hu
Xu Peng
Donghao Luo
Xiaozhong Ji
Jinlong Peng
Zhengkai Jiang
Jiangning Zhang
Taisong Jin
Chengjie Wang
Rongrong Ji
DiffM
296
13
0
10 Mar 2024
Previous
1
2
3
4
5
6
Next
Page 3 of 6
