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 / 62 papers shown

Title
Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao Yushu Wu Xinru Jiang Jianyang Gu Yanzhi Wang Xiaolin Xu Pu Zhao Xue Lin DD 232 0 0 23 May 2025
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder Shiming Chen Dingjie Fu Salman Khan Fahad Shahbaz Khan VLM 88 0 0 17 May 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 196 0 0 08 Apr 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 146 5 0 19 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 176 0 0 16 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 112 1 0 03 Mar 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 125 16 0 28 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 114 7 0 03 Jan 2025
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data Yuanpeng Tu Xi Chen Ser-Nam Lim Hengshuang Zhao 124 1 0 03 Jan 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 400 0 0 01 Dec 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 123 1 0 26 Nov 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 107 2 0 17 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 128 0 0 06 Oct 2024
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data Sreyan Ghosh Sonal Kumar Zhifeng Kong Rafael Valle Bryan Catanzaro Dinesh Manocha DiffM 92 3 0 02 Oct 2024
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 297 0 0 25 Sep 2024
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 193 1 0 09 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 89 10 0 05 Sep 2024
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot DiffM 68 0 0 31 Aug 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 111 1 0 30 Aug 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation Eyal Michaeli Ohad Fried 81 1 0 20 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach Tiago Sousa B. Ries N. Guelfi DiffM 80 2 0 10 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 87 1 0 05 Jun 2024
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 146 15 0 04 Dec 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 138 5 0 17 May 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 77 253 0 07 Feb 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 70 155 0 26 Jan 2023
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 67 112 0 22 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis Jianxin Ma Shuai Bai Chang Zhou DiffM VGen AI4CE 51 32 0 06 Dec 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 152 825 0 02 Nov 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 84 300 0 14 Oct 2022
Phenaki: Variable Length Video Generation From Open Domain Textual Description Ruben Villegas Mohammad Babaeizadeh Pieter-Jan Kindermans Hernan Moraldo Han Zhang M. Saffar Santiago Castro Julius Kunze D. Erhan DiffM VGen 114 389 0 05 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 110 1,528 0 05 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data Uriel Singer Adam Polyak Thomas Hayes Xiaoyue Yin Jie An ... Oron Ashual Oran Gafni Devi Parikh Sonal Gupta Yaniv Taigman DiffM VGen 74 1,406 0 29 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 175 3,882 0 26 Jul 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 165 1,967 0 01 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 358 6,854 0 13 Apr 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 106 107 0 12 Jan 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 311 3,582 0 20 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 265 534 0 06 Dec 2021
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 469 1,630 0 10 Nov 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 68 300 0 18 Oct 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 143 1,218 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 188 7,818 0 11 May 2021
AutoFlow: Learning a Better Training Set for Optical Flow Deqing Sun Daniel Vlasic Charles Herrmann Varun Jampani Michael Krainin Huiwen Chang Ramin Zabih William T. Freeman Ce Liu 3DPC 75 118 0 29 Apr 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 79 300 0 13 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 76 109 0 07 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 312 3,671 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 313 6,444 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 223 7,350 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 121 1,455 0 21 Sep 2020