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Is synthetic data from generative models ready for image recognition?

Is synthetic data from generative models ready for image recognition?

14 October 2022
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip H. S. Torr
Song Bai
Xiaojuan Qi
ArXivPDFHTML

Papers citing "Is synthetic data from generative models ready for image recognition?"

50 / 233 papers shown
Title
Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data
Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data
Yiwen Liu
Jessica Bader
Jae Myung Kim
DiffM
16
0
0
15 May 2025
Unsupervised Learning for Class Distribution Mismatch
Unsupervised Learning for Class Distribution Mismatch
Pan Du
Wangbo Zhao
Xinai Lu
Nian Liu
Z. Li
...
Suyun Zhao
H. Chen
Cuiping Li
Kai Wang
Yang You
26
0
0
11 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
41
0
0
28 Apr 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
Yinqi Li
Hong Chang
Ruibing Hou
Shiguang Shan
Xilin Chen
DiffM
55
0
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
ViT
3DPC
48
0
0
23 Apr 2025
Learning from Reasoning Failures via Synthetic Data Generation
Learning from Reasoning Failures via Synthetic Data Generation
Gabriela Ben-Melech Stan
Estelle Aflalo
Avinash Madasu
Vasudev Lal
Phillip Howard
SyDa
LRM
46
0
0
20 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo
Linwei Tao
Minjing Dong
Chang Xu
25
0
0
18 Apr 2025
Learning What NOT to Count
Learning What NOT to Count
Adriano DÁlessandro
Ali Mahdavi-Amiri
Ghassan Hamarneh
27
0
0
16 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
49
0
0
08 Apr 2025
Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification
Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification
Shijian Wang
Linxin Song
Ryotaro Shimizu
M. Goto
Hanqian Wu
VLM
30
0
0
06 Apr 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
36
0
0
28 Mar 2025
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
Min Cao
Ziyin Zeng
YuXin Lu
Mang Ye
Dong Yi
Jinqiao Wang
SyDa
54
0
0
28 Mar 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
DiffM
MedIm
52
0
0
28 Mar 2025
A Unified Image-Dense Annotation Generation Model for Underwater Scenes
A Unified Image-Dense Annotation Generation Model for Underwater Scenes
Hongkai Lin
Dingkang Liang
Zhenghao Qi
X. Bai
DiffM
41
0
0
27 Mar 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
Interpretable Generative Models through Post-hoc Concept Bottlenecks
Akshay Kulkarni
Ge Yan
Chung-En Sun
Tuomas P. Oikarinen
Tsui-Wei Weng
45
0
0
25 Mar 2025
Can Text-to-Video Generation help Video-Language Alignment?
Can Text-to-Video Generation help Video-Language Alignment?
Luca Zanella
Massimiliano Mancini
Willi Menapace
Sergey Tulyakov
Yiming Wang
Elisa Ricci
DiffM
VGen
57
0
0
24 Mar 2025
Leveraging Text-to-Image Generation for Handling Spurious Correlation
Leveraging Text-to-Image Generation for Handling Spurious Correlation
Aryan Yazdan Parast
Basim Azam
Naveed Akhtar
42
0
0
21 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
VLM
CLIP
MLLM
103
3
0
19 Mar 2025
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
ChangHee Yang
H. Song
Seokhun Choi
Seungwoo Lee
Jaechul Kim
Hoseok Do
45
0
0
17 Mar 2025
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
Wenbo Dai
Lijing Lu
Zhihang Li
41
0
0
16 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
DiffM
GNN
94
0
0
16 Mar 2025
Context-guided Responsible Data Augmentation with Diffusion Models
Khawar Islam
Naveed Akhtar
48
1
0
12 Mar 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
Yuechen Xie
Jie Song
Huiqiong Wang
Mingli Song
52
0
0
12 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
73
0
0
03 Mar 2025
Synthetic data enables context-aware bioacoustic sound event detection
Benjamin Hoffman
David Robinson
Marius Miron
V. Baglione
D. Canestrari
Damian Elias
Eva Trapote
Olivier Pietquin
32
0
0
01 Mar 2025
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis
Yifan Jiang
Yannick Lemaréchal
Josée Bafaro
Jessica Abi-Rjeile
Philippe Joubert
Philippe Després
Venkata Manem
MedIm
DiffM
44
1
0
24 Feb 2025
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data
Yuanpeng Tu
Xi Chen
Ser-Nam Lim
Hengshuang Zhao
38
0
0
03 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
68
6
0
03 Jan 2025
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram
  Datasets
Autonomous Crack Detection using Deep Learning on Synthetic Thermogram Datasets
Chinmay Makarand Pimpalkhare
D. N. Pawaskar
81
0
0
21 Dec 2024
Dataset Augmentation by Mixing Visual Concepts
Dataset Augmentation by Mixing Visual Concepts
Abdullah Al Rahat
Hemanth Venkateswara
DiffM
76
0
0
19 Dec 2024
OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D
  Scene Generation
OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D Scene Generation
Bohan Li
Xin Jin
J. Wang
Yukai Shi
Yasheng Sun
...
Zhuang Ma
Baao Xie
Chao Ma
Xiaokang Yang
Wenjun Zeng
DiffM
158
1
0
15 Dec 2024
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
Xingsong Ye
Yongkun Du
Yunbo Tao
Z. Chen
DiffM
105
0
0
02 Dec 2024
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous
  Driving with Synthetic Data from Latent Diffusion Models
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 P. Chinchali
DiffM
87
2
0
25 Nov 2024
Decoupled Data Augmentation for Improving Image Classification
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
34
2
0
29 Oct 2024
Synthetica: Large Scale Synthetic Data for Robot Perception
Synthetica: Large Scale Synthetic Data for Robot Perception
Ritvik Singh
Jingzhou Liu
Karl Van Wyk
Yu-Wei Chao
Jean-Francois Lafleche
Florian Shkurti
Nathan D. Ratliff
Ankur Handa
23
1
0
28 Oct 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe
  Dataset Curation
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Yuang Ai
Xiaoqiang Zhou
Huaibo Huang
Xiaotian Han
Zhengyu Chen
Quanzeng You
Hongxia Yang
42
9
0
24 Oct 2024
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
How Does Data Diversity Shape the Weight Landscape of Neural Networks?
Yang Ba
M. Mancenido
Rong Pan
19
0
0
18 Oct 2024
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning
  via Image-Guided Diffusion
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion
Yijun Liang
Shweta Bhardwaj
Tianyi Zhou
43
0
0
17 Oct 2024
A Little Human Data Goes A Long Way
A Little Human Data Goes A Long Way
Dhananjay Ashok
Jonathan May
SyDa
41
2
0
17 Oct 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
63
2
0
17 Oct 2024
A Survey on Data Synthesis and Augmentation for Large Language Models
A Survey on Data Synthesis and Augmentation for Large Language Models
Ke Wang
Jiahui Zhu
Minjie Ren
Z. Liu
Shiwei Li
...
Chenkai Zhang
Xiaoyu Wu
Qiqi Zhan
Qingjie Liu
Yunhong Wang
SyDa
38
15
0
16 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
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
92
0
0
06 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
24
1
0
03 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
41
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
47
2
0
02 Oct 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando De la Torre
37
2
0
26 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
26
0
0
25 Sep 2024
Single Image, Any Face: Generalisable 3D Face Generation
Single Image, Any Face: Generalisable 3D Face Generation
Wenqing Wang
Haosen Yang
Josef Kittler
Xiatian Zhu
3DH
74
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
135
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
55
0
0
11 Sep 2024
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