Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2304.08466
Cited By
Synthetic Data from Diffusion Models Improves ImageNet Classification
17 April 2023
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLM
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Synthetic Data from Diffusion Models Improves ImageNet Classification"
50 / 251 papers shown
Can Generative Models Improve Self-Supervised Representation Learning?
AAAI Conference on Artificial Intelligence (AAAI), 2024
Sana Ayromlou
Arash Afkanpour
Vahid Reza Khazaie
Fereshteh Forghani
286
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 C.H. Ngai
Haohan Wang
OOD
284
5
0
08 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
Jie Shao
Ke Zhu
Hanxiao Zhang
Jianxin Wu
240
7
0
08 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning
European Conference on Computer Vision (ECCV), 2024
Zichong Meng
Jie Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
DiffM
CLL
301
29
0
08 Mar 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu
Sen Zhang
Yingjie Wang
Xinmei Tian
Dacheng Tao
295
21
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
288
2
0
17 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
229
11
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
247
0
0
14 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training
International Conference on Machine Learning (ICML), 2024
Nate Gillman
Michael Freeman
Daksh Aggarwal
Chia-Hong Hsu
Calvin Luo
Yonglong Tian
Chen Sun
356
24
0
11 Feb 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws
International Conference on Machine Learning (ICML), 2024
Elvis Dohmatob
Yunzhen Feng
Pu Yang
Francois Charton
Julia Kempe
321
108
0
10 Feb 2024
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
Hasan Hammoud
Hani Itani
Fabio Pizzati
Juil Sock
Adel Bibi
Guohao Li
CLIP
VLM
450
56
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
245
106
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
213
4
0
08 Jan 2024
A Vision Check-up for Language Models
Computer Vision and Pattern Recognition (CVPR), 2024
Pratyusha Sharma
Tamar Rott Shaham
Manel Baradad
Stephanie Fu
Adrian Rodriguez-Munoz
Shivam Duggal
Phillip Isola
Antonio Torralba
VLM
LRM
300
40
0
03 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
244
2
0
31 Dec 2023
Learning Vision from Models Rivals Learning Vision from Data
Computer Vision and Pattern Recognition (CVPR), 2023
Yonglong Tian
Lijie Fan
Kaifeng Chen
Dina Katabi
Dilip Krishnan
Phillip Isola
279
73
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
99
0
0
28 Dec 2023
Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
Alan Chan
Ben Bucknall
Herbie Bradley
David M. Krueger
248
7
0
22 Dec 2023
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
Tariq Berrada
Jakob Verbeek
Camille Couprie
Alahari Karteek
236
16
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
319
34
0
11 Dec 2023
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
European Conference on Computer Vision (ECCV), 2023
Yuhang Li
Youngeun Kim
Donghyun Lee
Souvik Kundu
Priyadarshini Panda
MQ
334
6
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
271
106
0
07 Dec 2023
Gen2Det: Generate to Detect
Saksham Suri
Fanyi Xiao
Animesh Sinha
Sean Culatana
Raghuraman Krishnamoorthi
Chenchen Zhu
Abhinav Shrivastava
VLM
DiffM
320
12
0
07 Dec 2023
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
European Conference on Computer Vision (ECCV), 2023
Yuru Jia
Lukas Hoyer
Shengyu Huang
Tianfu Wang
Luc Van Gool
Konrad Schindler
Anton Obukhov
DiffM
320
48
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
Andrii Zadaianchuk
Elisa Ricci
331
9
0
05 Dec 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
303
3
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
501
21
0
04 Dec 2023
APoLLo: Unified Adapter and Prompt Learning for Vision Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sanjoy Chowdhury
Sayan Nag
Dinesh Manocha
VLM
197
25
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
239
4
0
01 Dec 2023
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation
Yifan Zhang
Bryan Hooi
VLM
171
15
0
30 Nov 2023
Unsupervised Keypoints from Pretrained Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Xingzhe He
Hossam N. Isack
Abhishek Kar Helge Rhodin
Andrea Tagliasacchi
Kwang Moo Yi
467
19
0
29 Nov 2023
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery
Zichen Tian
Zhaozheng Chen
Qianru Sun
174
1
0
29 Nov 2023
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
Jacob Schnell
Jieke Wang
Lu Qi
Vincent Tao Hu
Meng Tang
DiffM
273
3
0
28 Nov 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Mihir Prabhudesai
Tsung-Wei Ke
Alexander C. Li
Deepak Pathak
Katerina Fragkiadaki
TTA
241
27
0
27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
216
0
0
27 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion
Computer Vision and Pattern Recognition (CVPR), 2023
Jianyang Gu
Saeed Vahidian
Vyacheslav Kungurtsev
Haonan Wang
Wei Jiang
Yang You
Yiran Chen
DD
283
63
0
27 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets
Shinýa Yamaguchi
Takuma Fukuda
206
15
0
22 Nov 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
International Conference on Machine Learning (ICML), 2023
Kirill Vishniakov
Zhiqiang Shen
Zhuang Liu
CLIP
363
25
0
15 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
IEEE Access (IEEE Access), 2023
Derek Lilienthal
Paul Mello
Magdalini Eirinaki
Stas Tiomkin
SyDa
DiffM
496
10
0
06 Nov 2023
Market Concentration Implications of Foundation Models
Jai Vipra
Anton Korinek
ELM
294
24
0
02 Nov 2023
Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion
David Marwood
S. Baluja
Y. Alon
DiffM
253
8
0
31 Oct 2023
Semantic Generative Augmentations for Few-Shot Counting
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Perla Doubinsky
Nicolas Audebert
M. Crucianu
Hervé Le Borgne
VLM
DiffM
200
8
0
26 Oct 2023
Synthetic Data as Validation
Qixing Hu
Yaoyao Liu
Zongwei Zhou
SyDa
OOD
210
15
0
24 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Neural Information Processing Systems (NeurIPS), 2023
Lihe Yang
Xiaohan Li
Bingyi Kang
Yinghuan Shi
Hengshuang Zhao
203
71
0
23 Oct 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Peichun Li
Hanwen Zhang
Yuan Wu
Liping Qian
Rong Yu
Dusit Niyato
X. Shen
214
46
0
21 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
International Conference on Learning Representations (ICLR), 2023
Jianhao Yuan
Jie Zhang
Shuyang Sun
Juil Sock
Bo Zhao
239
45
0
16 Oct 2023
A Recipe for Improved Certifiable Robustness
Kai Hu
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
444
7
0
04 Oct 2023
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
Luca Scimeca
Alexander Rubinstein
A. Nicolicioiu
Damien Teney
Yoshua Bengio
DiffM
452
3
0
03 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
435
28
0
03 Oct 2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association
Qiyu Wu
Mengjie Zhao
Yutong He
Lang Huang
Junya Ono
Hiromi Wakaki
Yuki Mitsufuji
292
6
0
02 Oct 2023
Previous
1
2
3
4
5
6
Next
Page 4 of 6
