Synthetic Data from Diffusion Models Improves ImageNet Classification

17 April 2023

David J. Fleet

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

50 / 228 papers shown

Title
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Guan Gui Bin-Bin Gao J. Liu Chengjie Wang Y. Wu DiffM 16 0 0 14 May 2025
Addressing degeneracies in latent interpolation for diffusion models Erik Landolsi Fredrik Kahl DiffM 35 0 0 12 May 2025
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 21 0 0 11 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Abdullah Tao Huang Ickjai Lee E. Ahn MedIm 16 0 0 09 May 2025
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 Yinqi Li Hong Chang Ruibing Hou Shiguang Shan Xilin Chen DiffM 50 0 0 24 Apr 2025
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
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation Bram Vanherle Brent Zoomers Jeroen Put F. Reeth Nick Michiels 3DGS 32 0 0 11 Apr 2025
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces Nian Wu Nivetha Jayakumar Jiarui Xing Miaomiao Zhang 26 0 0 09 Apr 2025
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
Diffusion models applied to skin and oral cancer classification José J. M. Uliana Renato A. Krohling DiffM MedIm 52 0 0 28 Mar 2025
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 34 0 0 28 Mar 2025
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
Do Vision Models Develop Human-Like Progressive Difficulty Understanding? Zeyi Huang Utkarsh Ojha Yuyang Ji Donghyun Lee Yong Jae Lee OOD VLM Presented at ResearchTrend Connect \| VLM on 07 May 2025 96 0 1 17 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 71 0 0 16 Mar 2025
AugGen: Synthetic Augmentation Can Improve Discriminative Models Parsa Rahimi Damien Teney S´ebastien Marcel 64 0 0 14 Mar 2025
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets H. Kniesel Pedro Hermosilla Timo Ropinski 60 0 0 12 Mar 2025
Context-guided Responsible Data Augmentation with Diffusion Models Khawar Islam Naveed Akhtar 46 1 0 12 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models Bin Wu Wuxuan Shi Jinqiao Wang Mang Ye CLL VLM 45 0 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 73 0 0 05 Mar 2025
GenColor: Generative Color-Concept Association in Visual Design Yihan Hou Xingchen Zeng Yusong Wang Manling Yang Xiaojiao Chen Wei Zeng DiffM 76 0 0 05 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 69 0 0 03 Mar 2025
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping Pu Yang Yunzhen Feng Ziyuan Chen Yuhang Wu Zhuoyuan Li DiffM 101 0 0 31 Jan 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models Ran Xu Hejie Cui Yue Yu Xuan Kan Wenqi Shi Yuchen Zhuang Wei Jin Joyce C. Ho Carl Yang 64 12 0 28 Jan 2025
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data Yuanpeng Tu Xi Chen Ser-Nam Lim Hengshuang Zhao 33 0 0 03 Jan 2025
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 60 6 0 03 Jan 2025
Dataset Augmentation by Mixing Visual Concepts Abdullah Al Rahat Hemanth Venkateswara DiffM 68 0 0 19 Dec 2024
Financial Fine-tuning a Large Time Series Model Xinghong Fu Masanori Hirano Kentaro Imajo AI4TS AIFin 77 0 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 75 2 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 73 1 0 02 Dec 2024
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition Xingsong Ye Yongkun Du Yunbo Tao Z. Chen DiffM 96 0 0 02 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 111 0 0 01 Dec 2024
Training Data Synthesis with Difficulty Controlled Diffusion Model Zerun Wang Jiafeng Mao Xueting Wang Toshihiko Yamasaki DiffM 75 0 0 27 Nov 2024
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Sudarshan Rajagopalan Nithin Gopalakrishnan Nair Jay N. Paranjape Vishal M. Patel DiffM 90 0 0 26 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 P. Chinchali DiffM 84 2 0 25 Nov 2024
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion Mohamed Benkedadra Dany Rimez Tiffanie Godelaine Natarajan Chidambaram Hamed Razavi Khosroshahi Horacio Tellez Matei Mancas Benoît Macq Sidi Ahmed Mahmoudi DiffM 69 0 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 74 0 0 22 Nov 2024
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification Minhee Jang Juheon Son Thanaporn Viriyasaranon Junho Kim Jang-Hwan Choi MedIm 29 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 33 0 0 05 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis Mohammad Zbeeb Mohammad Ghorayeb Mariam Salman 21 0 0 04 Nov 2024
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images Suhyun Ahn Wonjung Park Jihoon Cho Seunghyuck Park Jinah Park MedIm 26 0 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 32 2 0 29 Oct 2024
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 8 0 24 Oct 2024
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion Yijun Liang Shweta Bhardwaj Tianyi Zhou 26 0 0 17 Oct 2024
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 53 2 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 34 1 0 14 Oct 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data Xilin He Cheng Luo Xiaole Xian Bing Li Siyang Song Muhammad Haris Khan Weicheng Xie L. Shen Zongyuan Ge 30 4 0 13 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip H. S. Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 22 2 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 84 0 0 06 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Mucong Ding Bang An Yuancheng Xu Anirudh Satheesh Furong Huang 19 1 0 03 Oct 2024