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
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam Muhammad Zaigham Zaheer Arif Mahmood Karthik Nandakumar DiffM 35 26 0 05 Apr 2024
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models Sean Farhat Deming Chen 29 0 0 04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images Sho Inayoshi Aji Resindra Widya Satoshi Ozaki Junji Otsuka Takeshi Ohashi 3DH 36 1 0 04 Apr 2024
Would Deep Generative Models Amplify Bias in Future Models? Tianwei Chen Yusuke Hirota Mayu Otani Noa Garcia Yuta Nakashima 27 12 0 04 Apr 2024
Diverse and Tailored Image Generation for Zero-shot Multi-label Classification Kai Zhang Zhixiang Yuan Tao Huang VLM 29 4 0 04 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization Yuhang Li Xin Dong Chen Chen Jingtao Li Yuxin Wen Michael Spranger Lingjuan Lyu DiffM 28 4 0 28 Mar 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model Zhicai Wang Longhui Wei Tan Wang Heyu Chen Yanbin Hao Xiang Wang Xiangnan He Qi Tian VLM DiffM 32 16 0 28 Mar 2024
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control Binyuan Huang Yuqing Wen Yucheng Zhao Yaosi Hu Yingfei Liu ... Tiancai Wang Chi Zhang Chang Wen Chen Zhenzhong Chen Xiangyu Zhang 38 15 0 28 Mar 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang Fei Pan Junmo Kim In So Kweon Chengzhi Mao 49 9 1 27 Mar 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion Shuai Xiang Pieter M. Blok James Burridge Haozhou Wang Wei Guo 29 0 0 27 Mar 2024
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation Aysim Toker Marvin Eisenberger Daniel Cremers Laura Leal-Taixé DiffM 32 19 0 25 Mar 2024
Generative Active Learning for Image Synthesis Personalization Xu-Lu Zhang Wengyu Zhang Xiao Wei Jinlin Wu Zhaoxiang Zhang Zhen Lei Qing Li 102 2 0 22 Mar 2024
Generative Enhancement for 3D Medical Images Lingting Zhu Noel Codella Dongdong Chen Zhenchao Jin Lu Yuan Lequan Yu DiffM MedIm 32 10 0 19 Mar 2024
DreamDA: Generative Data Augmentation with Diffusion Models Yunxiang Fu Chaoqi Chen Yu Qiao Yizhou Yu VLM DiffM 27 12 0 19 Mar 2024
Do Generated Data Always Help Contrastive Learning? Yifei Wang Jizhe Zhang Yisen Wang DiffM 18 22 0 19 Mar 2024
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models Yongtao Ge Wenjia Wang Yongfan Chen Hao Chen Chunhua Shen 3DH 30 8 0 17 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 33 7 0 16 Mar 2024
Synth $^2$ : Boosting Visual-Language Models with Synthetic Captions and Image Embeddings Sahand Sharifzadeh Christos Kaplanis Shreya Pathak D. Kumaran Anastasija Ilić Jovana Mitrović Charles Blundell Andrea Banino VLM 32 9 0 12 Mar 2024
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data Jialu Li Jaemin Cho Yi-Lin Sung Jaehong Yoon Mohit Bansal MoMe DiffM 39 8 0 11 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 22 2 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 24 4 0 10 Mar 2024
Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou Arash Afkanpour Vahid Reza Khazaie Fereshteh Forghani 24 3 0 09 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 Ngai Haohan Wang OOD 33 1 0 08 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 33 4 0 08 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng Jie M. Zhang Changdi Yang Zheng Zhan Pu Zhao Yanzhi Wang DiffM CLL 38 14 0 08 Mar 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 18 9 0 19 Feb 2024
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models Juliette Marrie Michael Arbel Julien Mairal Diane Larlus VLM MQ 40 1 0 17 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization Divin Yan Lu Qi Vincent Tao Hu Ming-Hsuan Yang Meng Tang 22 5 0 16 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 17 0 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 27 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 19 62 0 10 Feb 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training? Hasan Hammoud Hani Itani Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem CLIP VLM 112 36 0 02 Feb 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling Pratyush Maini Skyler Seto Richard He Bai David Grangier Yizhe Zhang Navdeep Jaitly SyDa 33 54 0 29 Jan 2024
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation Casimir Feldmann Niall Siegenheim Nikolas Hars Lovro Rabuzin Mert Ertugrul Luca Wolfart Marc Pollefeys Z. Bauer Martin R. Oswald 22 4 0 08 Jan 2024
A Vision Check-up for Language Models Pratyusha Sharma Tamar Rott Shaham Manel Baradad Stephanie Fu Adrian Rodriguez-Munoz Shivam Duggal Phillip Isola Antonio Torralba VLM LRM 78 24 0 03 Jan 2024
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
Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian Lijie Fan Kaifeng Chen Dina Katabi Dilip Krishnan Phillip Isola 22 44 0 28 Dec 2023
Automatic Scoring of Cognition Drawings: Assessing the Quality of Machine-Based Scores Against a Gold Standard Arne Bethmann Marina Aoki Charlotte Hunsicker Claudia Weileder 16 0 0 28 Dec 2023
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models Alan Chan Ben Bucknall Herbie Bradley David M. Krueger 8 6 0 22 Dec 2023
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis Tariq Berrada Jakob Verbeek Camille Couprie Alahari Karteek 32 6 0 20 Dec 2023
The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev Joshua Vendrow Hadi Salman Sung Min Park Aleksander Madry 10 20 0 11 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li Youngeun Kim Donghyun Lee Souvik Kundu Priyadarshini Panda MQ 20 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 28 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 18 9 0 07 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 43 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 38 3 0 05 Dec 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 25 1 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 109 14 0 04 Dec 2023
APoLLo: Unified Adapter and Prompt Learning for Vision Language Models Sanjoy Chowdhury Sayan Nag Dinesh Manocha VLM 27 17 0 04 Dec 2023
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation Fangxin Shang Jie Fu Yehui Yang Haifeng Huang Junwei Liu Lei Ma MedIm 27 1 0 01 Dec 2023