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?"

34 / 234 papers shown

Title
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 29 25 0 27 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap Alyssa Umino Han Zhang Jiezhi Yang Joseph E. Gonzalez Trevor Darrell DiffM 33 71 0 25 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 19 43 0 24 May 2023
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning Wentao Bao Lichang Chen Heng-Chiao Huang Yu Kong CoGe VLM 29 12 0 23 May 2023
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation? Zheng Li Yuxuan Li Penghai Zhao Renjie Song Xiang Li Jian Yang 34 19 0 22 May 2023
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration Qifan Yu Juncheng Li Wentao Ye Siliang Tang Yueting Zhuang 33 13 0 22 May 2023
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners Xuehai He Weixi Feng Tsu-jui Fu Varun Jampani Arjun Reddy Akula P. Narayana Sugato Basu William Yang Wang Qing Guo DiffM 52 7 0 18 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 135 38 0 27 Apr 2023
Synthetic Datasets for Autonomous Driving: A Survey Zhihang Song Zimin He Xingyu Li Q. Ma RuiBo Ming ... Huaxin Pei Lihui Peng Jianming Hu D. Yao Yan Zhang 33 38 0 24 Apr 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 45 16 0 20 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 40 292 0 17 Apr 2023
One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models Yasser Benigmim Subhankar Roy S. Essid Vicky Kalogeiton Stéphane Lathuilière DiffM 53 27 0 31 Mar 2023
Explore the Power of Synthetic Data on Few-shot Object Detection Shaobo Lin Kun Wang Xingyu Zeng Ruili Zhao 35 32 0 23 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 85 159 0 21 Mar 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu Yuzhong Zhao Mike Zheng Shou Hong Zhou Chunhua Shen 45 140 0 21 Mar 2023
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery Chaofan Ma Yu-Hao Yang Chen Ju Feifan Zhang Jinxian Liu Yu Wang Ya-Qin Zhang Yanfeng Wang DiffM 32 37 0 17 Mar 2023
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains Zhenzhen Weng Laura Bravo Sánchez Serena Yeung-Levy DiffM 35 0 0 16 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 67 0 12 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 209 36 0 21 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 32 232 0 07 Feb 2023
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion Jordan Shipard Arnold Wiliem Kien Nguyen Thanh Wei Xiang Clinton Fookes DiffM 14 73 0 07 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 44 87 0 05 Feb 2023
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification Bohan Li Xiao Xu Xinghao Wang Yutai Hou Yunlong Feng Feng Wang Xuanliang Zhang Qingfu Zhu Wanxiang Che DiffM VLM 23 10 0 04 Feb 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip Torr DiffM 27 12 0 21 Dec 2022
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones Mert Bulent Sariyildiz Alahari Karteek Diane Larlus Yannis Kalantidis DiffM VLM 32 153 0 16 Dec 2022
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models Vishaal Udandarao Ankush Gupta Samuel Albanie VLM MLLM 29 103 0 28 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 41 45 0 25 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 233 1,355 0 24 Jan 2022
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 342 1,591 0 10 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 348 2,271 0 02 Sep 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 288 10,354 0 12 Dec 2018