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Effective Data Augmentation With Diffusion Models

Effective Data Augmentation With Diffusion Models

7 February 2023
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
    VLM
    DiffM
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Papers citing "Effective Data Augmentation With Diffusion Models"

35 / 35 papers shown
Title
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
David de-Fitero-Dominguez
Antonio Garcia-Cabot
Eva García-López
SyDa
44
0
0
12 May 2025
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
Onkar Susladkar
Gayatri S Deshmukh
Yalcin Tur
Ulas Bagci
MedIm
51
0
0
08 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
45
0
0
08 May 2025
Generating Synthetic Data via Augmentations for Improved Facial Resemblance in DreamBooth and InstantID
Generating Synthetic Data via Augmentations for Improved Facial Resemblance in DreamBooth and InstantID
Koray Ulusan
Benjamin Kiefer
DiffM
29
0
0
06 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
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
44
0
0
08 Apr 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
95
3
0
19 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
71
0
0
16 Mar 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Minh-Quan Le
Gaurav Mittal
Tianjian Meng
A S M Iftekhar
Vishwas Suryanarayanan
Barun Patra
Dimitris Samaras
Mei Chen
DiffM
60
0
0
07 Feb 2025
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement
Jae-Sung Bae
Anastasia Kuznetsova
Dinesh Manocha
John Hershey
Trausti Kristjansson
Minje Kim
72
0
0
23 Jan 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
105
0
0
01 Dec 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
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
87
0
0
25 Sep 2024
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation
Mohammad Mehdi Rastikerdar
Jin Huang
Hui Guan
Deepak Ganesan
59
0
0
12 Sep 2024
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin
Vivek Mange
Arjun Suresh
Bernhard Neuberger
Aadi Palnitkar
...
Alhim Vera
Markus Vincze
Ioannis Rekleitis
Herbert G. Tanner
Yiannis Aloimonos
34
2
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
LoGex: Improved tail detection of extremely rare histopathology classes
  via guided diffusion
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller
Matthias Hein
MedIm
29
0
0
02 Sep 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
52
1
0
20 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
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
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
95
19
0
15 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
27
5
0
13 May 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar
Abhijnya Bhat
Abhipsa Basu
Saswat Mallick
Jogendra Nath Kundu
R. V. Babu
43
18
0
28 Feb 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
22
5
0
09 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
43
1
0
31 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
19
2
0
20 Dec 2023
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of
  Generative AI and State-of-the-Art Neural Networks
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma
Xupeng He
Hyung Kwak
Jun Gao
Shuyu Sun
Bicheng Yan
AI4CE
19
3
0
10 Nov 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from
  Unbounded Synthesized Images
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
Sookwan Han
Hanbyul Joo
14
14
0
23 Aug 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image Models
Shiye Lei
Hao Chen
Senyang Zhang
Bo-Lu Zhao
Dacheng Tao
VLM
24
19
0
17 Jul 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge
  Distillation?
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Zheng Li
Yuxuan Li
Penghai Zhao
Renjie Song
Xiang Li
Jian Yang
29
19
0
22 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning
Rethinking Data Augmentation for Tabular Data in Deep Learning
Soma Onishi
Shoya Meguro
LMTD
18
14
0
17 May 2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for
  Pedestrian Detection
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
A. Farley
Mohsen Zand
Michael A. Greenspan
DiffM
21
1
0
16 May 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
213
1,353
0
24 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,584
0
10 Nov 2021
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
98
138
0
18 Oct 2020
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