ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.08466
  4. Cited By
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
    VLM
    DiffM
ArXivPDFHTML

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

50 / 228 papers shown
Title
Forte : Finding Outliers with Representation Typicality Estimation
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
39
0
0
02 Oct 2024
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
Sreyan Ghosh
Sonal Kumar
Zhifeng Kong
Rafael Valle
Bryan Catanzaro
Dinesh Manocha
DiffM
39
2
0
02 Oct 2024
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data
  Generation
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng
Faria Huq
Yue Jiang
Jason Wu
Amanda Li
Jeffrey P. Bigham
Amy Pavel
DiffM
25
4
0
30 Sep 2024
Illustrious: an Open Advanced Illustration Model
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
33
1
0
30 Sep 2024
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with
  Adaptive Guidance Scaling
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
16
0
0
25 Sep 2024
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
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
102
0
0
25 Sep 2024
EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound
  Segmentation using Synthetic Data
EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data
Grégoire Petit
Nathan Palluau
Axel Bauer
Clemens Dlaska
31
0
0
11 Sep 2024
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
Enhanced Generative Data Augmentation for Semantic Segmentation via Stronger Guidance
Quang-Huy Che
Duc-Tri Le
Vinh-Tiep Nguyen
D. Lam
Vinh-Tiep Nguyen
DiffM
30
1
0
09 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Jianlong Wu
Yan Yan
Liqiang Nie
DiffM
58
10
0
05 Sep 2024
Data Augmentation for Image Classification using Generative AI
Data Augmentation for Image Classification using Generative AI
Fazle Rahat
M Shifat Hossain
Md Rubel Ahmed
Sumit Kumar Jha
Rickard Ewetz
VLM
42
4
0
31 Aug 2024
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot
  Learning
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
William Heyden
H. Ullah
M. S. Siddiqui
Fadi Al-Machot
DiffM
31
0
0
31 Aug 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of
  Transformers on Small Datasets
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets
Sven Oehri
Nikolas Ebert
Ahmed Abdullah
Didier Stricker
Oliver Wasenmüller
ViT
26
5
0
26 Aug 2024
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep
  Molecular Understanding
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Bing Hu
Anita Layton
Helen Chen
MedIm
28
2
0
14 Aug 2024
A Simple Background Augmentation Method for Object Detection with
  Diffusion Model
A Simple Background Augmentation Method for Object Detection with Diffusion Model
Yuhang Li
Jun Gao
Chen Chen
Yue Zhang
Jielei Zhang
DiffM
29
5
0
01 Aug 2024
Add-SD: Rational Generation without Manual Reference
Add-SD: Rational Generation without Manual Reference
Lingfeng Yang
Xinyu Zhang
Xiang Li
Jinwen Chen
Kun Yao
Gang Zhang
Errui Ding
Ling-Ling Liu
Jingdong Wang
Jian Yang
32
0
0
30 Jul 2024
Diffusion Feedback Helps CLIP See Better
Diffusion Feedback Helps CLIP See Better
Wenxuan Wang
Quan-Sen Sun
Fan Zhang
Yepeng Tang
Jing Liu
Xinlong Wang
VLM
38
14
0
29 Jul 2024
Machine Unlearning using a Multi-GAN based Model
Machine Unlearning using a Multi-GAN based Model
Amartya Hatua
Trung T. Nguyen
Andrew H. Sung
GAN
SyDa
MU
30
0
0
26 Jul 2024
Weak-to-Strong Compositional Learning from Generative Models for
  Language-based Object Detection
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
Kwanyong Park
Kuniaki Saito
Donghyun Kim
VLM
CoGe
42
0
0
21 Jul 2024
Diffusion Models as Data Mining Tools
Diffusion Models as Data Mining Tools
Ioannis Siglidis
Aleksander Holynski
Alexei A. Efros
Mathieu Aubry
Shiry Ginosar
DiffM
MedIm
36
3
0
20 Jul 2024
Training-free Composite Scene Generation for Layout-to-Image Synthesis
Training-free Composite Scene Generation for Layout-to-Image Synthesis
Jiaqi Liu
Tao Huang
Chang Xu
DiffM
30
5
0
18 Jul 2024
DataDream: Few-shot Guided Dataset Generation
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim
Jessica Bader
Stephan Alaniz
Cordelia Schmid
Zeynep Akata
37
5
0
15 Jul 2024
Enriching Information and Preserving Semantic Consistency in Expanding
  Curvilinear Object Segmentation Datasets
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
Qin Lei
Jiang Zhong
Qizhu Dai
DiffM
37
2
0
11 Jul 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional
  Diffusion Models for Domain Generalization
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
38
1
0
04 Jul 2024
Precision at Scale: Domain-Specific Datasets On-Demand
Precision at Scale: Domain-Specific Datasets On-Demand
Jesús M. Rodríguez-de-Vera
Imanol G. Estepa
Ignacio Sarasúa
Bhalaji Nagarajan
P. Radeva
34
2
0
03 Jul 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
Eyal Michaeli
Ohad Fried
57
1
0
20 Jun 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
31
0
0
18 Jun 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites
  Paradox
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
Xingming Long
Jie Zhang
Shiguang Shan
Xilin Chen
OODD
34
1
0
14 Jun 2024
Dataset Enhancement with Instance-Level Augmentations
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn
Christian Rupprecht
40
9
0
12 Jun 2024
Beyond Model Collapse: Scaling Up with Synthesized Data Requires
  Reinforcement
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement
Yunzhen Feng
Elvis Dohmatob
Pu Yang
Francois Charton
Julia Kempe
46
17
0
11 Jun 2024
DiffInject: Revisiting Debias via Synthetic Data Generation using
  Diffusion-based Style Injection
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
Donggeun Ko
Sangwoo Jo
Dongjun Lee
Namjun Park
Jaekwang Kim
16
0
0
10 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach
Data Augmentation in Earth Observation: A Diffusion Model Approach
Tiago Sousa
B. Ries
N. Guelfi
DiffM
40
2
0
10 Jun 2024
Regularized Training with Generated Datasets for Name-Only Transfer of
  Vision-Language Models
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park
S. Park
Jooyeol Yun
Jaegul Choo
VLM
35
0
0
08 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via
  Synthetic-Domain Alignment
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
37
5
0
06 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
53
1
0
05 Jun 2024
Generative Active Learning for Long-tailed Instance Segmentation
Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu
Chengxiang Fan
Hao Chen
Y. Liu
Weian Mao
Xiaogang Xu
Chunhua Shen
40
5
0
04 Jun 2024
Visual Car Brand Classification by Implementing a Synthetic Image
  Dataset Creation Pipeline
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline
Jan Lippemeier
Stefanie Hittmeyer
Oliver Niehörster
Markus Lange-Hegermann
21
1
0
03 Jun 2024
Improving Text Generation on Images with Synthetic Captions
Improving Text Generation on Images with Synthetic Captions
Jun Young Koh
Sang Hyun Park
Joy Song
DiffM
46
2
0
01 Jun 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
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
39
18
0
30 May 2024
Improving Object Detector Training on Synthetic Data by Starting With a
  Strong Baseline Methodology
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
31
4
0
30 May 2024
ODGEN: Domain-specific Object Detection Data Generation with Diffusion
  Models
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
Jingyuan Zhu
Shiyu Li
Yuxuan Liu
Ping-Chia Huang
Jiulong Shan
Huimin Ma
Jian Yuan
32
3
0
24 May 2024
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image
  Synthetic Data
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
45
1
0
22 May 2024
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing
  Image Generation
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
Zhiping Yu
Chenyang Liu
Liqin Liu
Z. Shi
Zhengxia Zou
VGen
26
11
0
22 May 2024
URDFormer: A Pipeline for Constructing Articulated Simulation
  Environments from Real-World Images
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
56
24
0
19 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
32
5
0
13 May 2024
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Bing Hu
Ashish Saragadam
Anita Layton
Helen Chen
DiffM
25
1
0
06 May 2024
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to
  Probe the Boundaries of Stable Diffusion Generated Data
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
45
2
0
06 May 2024
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of
  Synthetic Data
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
Niclas Popp
J. H. Metzen
Matthias Hein
VLM
40
1
0
25 Apr 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking
SynCellFactory: Generative Data Augmentation for Cell Tracking
Moritz Sturm
Lorenzo Cerrone
Fred A. Hamprecht
39
2
0
25 Apr 2024
RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
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
43
28
0
14 Apr 2024
Previous
12345
Next