Is synthetic data from generative models ready for image recognition?

14 October 2022

Shuyang Sun

Xiaojuan Qi

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

50 / 234 papers shown

Title
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 47 4 0 22 Mar 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception Yibo Wang Ruiyuan Gao Kai Chen Kaiqiang Zhou Yingjie Cai ... Zhenguo Li Lihui Jiang Dit-Yan Yeung Qiang Xu Kai Zhang DiffM 121 21 0 20 Mar 2024
Generative Enhancement for 3D Medical Images Lingting Zhu Noel Codella Dongdong Chen Zhenchao Jin Lu Yuan Lequan Yu DiffM MedIm 42 10 0 19 Mar 2024
DreamDA: Generative Data Augmentation with Diffusion Models Yunxiang Fu Chaoqi Chen Yu Qiao Yizhou Yu VLM DiffM 37 12 0 19 Mar 2024
Do Generated Data Always Help Contrastive Learning? Yifei Wang Jizhe Zhang Yisen Wang DiffM 33 22 0 19 Mar 2024
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning Xiaojie Li Yibo Yang Hefei Ling Jianlong Wu Yue Yu Guohao Li Min Zhang SSL 34 6 0 18 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 37 7 0 16 Mar 2024
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation Yunhao Gou Kai Chen Zhili Liu Lanqing Hong Hang Xu Zhenguo Li Dit-Yan Yeung James T. Kwok Yu Zhang MLLM 46 37 0 14 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu Ling Yang Jun-Hai Yong Hongzhi Yin Jiawei Jiang Meng Xiao Wentao Zhang Bin Wang 41 3 0 11 Mar 2024
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation Xiaobin Hu Xu Peng Donghao Luo Xiaozhong Ji Jinlong Peng Zhengkai Jiang Jiangning Zhang Taisong Jin Chengjie Wang Rongrong Ji DiffM 37 5 0 10 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation Yijiang Li Sucheng Ren Weipeng Deng Yuzhi Xu Ying Gao Edith C.H. Ngai Haohan Wang OOD 41 1 0 08 Mar 2024
AFreeCA: Annotation-Free Counting for All Adrian dÁlessandro Ali Mahdavi-Amiri Ghassan Hamarneh DiffM 40 2 0 07 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 46 4 0 28 Feb 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization Xuxi Chen Zhendong Wang Daouda Sow Junjie Yang Tianlong Chen Yingbin Liang Mingyuan Zhou Zhangyang Wang 34 5 0 22 Feb 2024
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency Yannis Kalantidis Mert Bulent Sariyildiz Rafael Sampaio de Rezende Philippe Weinzaepfel Diane Larlus G. Csurka 19 0 0 14 Feb 2024
Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing? Tiantian Feng Daniel Yang Digbalay Bose Shrikanth Narayanan 37 4 0 14 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo Yonglong Tian Chen Sun 35 13 0 11 Feb 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws Elvis Dohmatob Yunzhen Feng Pu Yang Francois Charton Julia Kempe 29 64 0 10 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 27 4 0 09 Feb 2024
Scaling laws for learning with real and surrogate data Ayush Jain Andrea Montanari Eren Sasoglu 37 11 0 06 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Xue Wang Jinyang Gao Bolin Ding 45 6 0 05 Feb 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? Hasan Hammoud Hani Itani Fabio Pizzati Philip Torr Adel Bibi Guohao Li CLIP VLM 120 36 0 02 Feb 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 49 23 0 27 Jan 2024
GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis Jing Hao Moyun Liu Kuo Feng Hung DiffM 23 2 0 27 Jan 2024
Zero-Shot Learning for the Primitives of 3D Affordance in General Objects Hyeonwoo Kim Sookwan Han Patrick Kwon Hanbyul Joo DiffM 41 14 0 23 Jan 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models Ziqiang Yuan Kaiyuan Wang Shoutai Zhu Ye Yuan Jingya Zhou Yanlin Zhu Wenqi Wei 42 5 0 19 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 30 5 0 09 Jan 2024
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 27 45 0 28 Dec 2023
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models Shweta Mahajan Tanzila Rahman Kwang Moo Yi Leonid Sigal DiffM 43 17 0 19 Dec 2023
Reliability in Semantic Segmentation: Can We Use Synthetic Data? Thibaut Loiseau Tuan-Hung Vu Mickaël Chen Patrick Pérez Matthieu Cord UQCV 31 12 0 14 Dec 2023
Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences C. Kupferschmidt A. Binns K. L. Kupferschmidt G. W. Taylor DiffM 16 0 0 13 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 19 2 0 10 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 36 2 0 07 Dec 2023
Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan Kaifeng Chen Dilip Krishnan Dina Katabi Phillip Isola Yonglong Tian CLIP VLM 41 61 0 07 Dec 2023
Gen2Det: Generate to Detect Saksham Suri Fanyi Xiao Animesh Sinha Sean Culatana Raghuraman Krishnamoorthi Chenchen Zhu Abhinav Shrivastava VLM DiffM 29 9 0 07 Dec 2023
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios Mushui Liu Weijie He Ziqian Lu Yunlong Yu VLM 27 1 0 06 Dec 2023
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control Yuru Jia Lukas Hoyer Shengyu Huang Tianfu Wang Luc Van Gool Konrad Schindler Anton Obukhov DiffM 48 18 0 05 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 43 3 0 05 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 26 4 0 05 Dec 2023
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 117 14 0 04 Dec 2023
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery Zichen Tian Zhaozheng Chen Qianru Sun 38 1 0 29 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 44 0 0 27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 39 27 0 27 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 32 6 0 22 Nov 2023
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web Ameya Prabhu Hasan Hammoud Ser-Nam Lim Guohao Li Philip Torr Adel Bibi CLL 127 9 0 19 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov Zhiqiang Shen Zhuang Liu CLIP 42 16 0 15 Nov 2023
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining U. Sahin Hang Li Qadeer Ahmad Khan Daniel Cremers Volker Tresp VLM CoGe 28 12 0 07 Nov 2023
Improving the Effectiveness of Deep Generative Data Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 35 3 0 07 Nov 2023
Semantic Generative Augmentations for Few-Shot Counting Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne VLM DiffM 26 4 0 26 Oct 2023