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StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual
  Representation Learners

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

1 June 2023
Yonglong Tian
Lijie Fan
Phillip Isola
Huiwen Chang
Dilip Krishnan
    VLM
    DiffM
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Papers citing "StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners"

50 / 108 papers shown
Title
Unsupervised Learning for Class Distribution Mismatch
Unsupervised Learning for Class Distribution Mismatch
Pan Du
Wangbo Zhao
Xinai Lu
Nian Liu
ZeLin Li
...
Suyun Zhao
H. Chen
Cuiping Li
Kai Wang
Yang You
26
0
0
11 May 2025
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition
Siyu Liang
Yunan Li
Wentian Xin
Huizhou Chen
Xujie Liu
Kang Liu
Qiguang Miao
27
0
0
05 May 2025
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Ziqi Pang
Xin Xu
Yu-Xiong Wang
DiffM
67
0
0
15 Apr 2025
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
Leander Girrbach
Stephan Alaniz
Genevieve Smith
Zeynep Akata
40
0
0
30 Mar 2025
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
Min Cao
Ziyin Zeng
YuXin Lu
Mang Ye
Dong Yi
Jinqiao Wang
SyDa
54
0
0
28 Mar 2025
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving
Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving
Lucas Nunes
Rodrigo Marcuzzi
Jens Behley
C. Stachniss
3DPC
83
0
0
27 Mar 2025
Can Text-to-Video Generation help Video-Language Alignment?
Can Text-to-Video Generation help Video-Language Alignment?
Luca Zanella
Massimiliano Mancini
Willi Menapace
Sergey Tulyakov
Yiming Wang
Elisa Ricci
DiffM
VGen
57
0
0
24 Mar 2025
TULIP: Towards Unified Language-Image Pretraining
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
103
3
0
19 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
Context-guided Responsible Data Augmentation with Diffusion Models
Khawar Islam
Naveed Akhtar
50
1
0
12 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
Bin Wu
Wuxuan Shi
Jinqiao Wang
Mang Ye
CLL
VLM
51
0
0
06 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
73
0
0
03 Mar 2025
Synthetic data enables context-aware bioacoustic sound event detection
Benjamin Hoffman
David Robinson
Marius Miron
V. Baglione
D. Canestrari
Damian Elias
Eva Trapote
Olivier Pietquin
34
0
0
01 Mar 2025
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
Kang Liu
Zhuoqi Ma
Xiaolu Kang
Yunan Li
Kun Xie
Zhicheng Jiao
Qiguang Miao
36
3
0
27 Feb 2025
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress
Onat Gungor
Amanda Rios
Nilesh A. Ahuja
T. Rosing
OODD
AI4TS
45
0
0
21 Feb 2025
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Zhili Liu
Yunhao Gou
Kai Chen
Lanqing Hong
Jiahui Gao
...
Yu Zhang
Zhenguo Li
Xin Jiang
Qiang Liu
James T. Kwok
MoE
96
9
0
20 Feb 2025
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
Kohei Torimi
Ryosuke Yamada
Daichi Otsuka
Kensho Hara
Yuki M. Asano
Hirokatsu Kataoka
Y. Aoki
3DV
38
0
0
20 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
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
68
6
0
03 Jan 2025
FFA Sora, video generation as fundus fluorescein angiography simulator
FFA Sora, video generation as fundus fluorescein angiography simulator
Xinyuan Wu
Lili Wang
Ruoyu Chen
Bowen Liu
Weiyi Zhang
Xi Yang
Yifan Feng
M. He
Danli Shi
VGen
49
1
0
23 Dec 2024
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
77
1
0
02 Dec 2024
Volumetric Conditioning Module to Control Pretrained Diffusion Models
  for 3D Medical Images
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images
Suhyun Ahn
Wonjung Park
Jihoon Cho
Seunghyuck Park
Jinah Park
MedIm
26
0
0
29 Oct 2024
Synthetica: Large Scale Synthetic Data for Robot Perception
Synthetica: Large Scale Synthetic Data for Robot Perception
Ritvik Singh
Jingzhou Liu
Karl Van Wyk
Yu-Wei Chao
Jean-Francois Lafleche
Florian Shkurti
Nathan D. Ratliff
Ankur Handa
25
1
0
28 Oct 2024
TIPS: Text-Image Pretraining with Spatial awareness
TIPS: Text-Image Pretraining with Spatial awareness
Kevis-Kokitsi Maninis
Kaifeng Chen
Soham Ghosh
Arjun Karpur
Koert Chen
...
Jan Dlabal
Dan Gnanapragasam
Mojtaba Seyedhosseini
Howard Zhou
Andre Araujo
VLM
35
3
0
21 Oct 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
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
69
2
0
17 Oct 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic
  Data
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He
Cheng Luo
Xiaole Xian
Bing Li
Siyang Song
Muhammad Haris Khan
Weicheng Xie
L. Shen
Zongyuan Ge
41
3
0
13 Oct 2024
LoTLIP: Improving Language-Image Pre-training for Long Text
  Understanding
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
Wei Wu
Kecheng Zheng
Shuailei Ma
Fan Lu
Yuxin Guo
Yifei Zhang
Wei Chen
Qingpei Guo
Yujun Shen
Zheng-Jun Zha
VLM
30
9
0
07 Oct 2024
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
Yahong Yang
25
0
0
06 Oct 2024
MOREL: Enhancing Adversarial Robustness through Multi-Objective
  Representation Learning
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning
Sedjro Salomon Hotegni
Sebastian Peitz
AAML
26
2
0
02 Oct 2024
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data
  Generation
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng
Faria Huq
Yue Jiang
Jason Wu
Amanda Li
Jeffrey P. Bigham
Amy Pavel
DiffM
29
4
0
30 Sep 2024
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation
  for Synthetic Image Detection
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection
Hina Otake
Yoshihiro Fukuhara
Yoshiki Kubotani
Shigeo Morishima
ViT
56
0
0
13 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Jianlong Wu
Yan Yan
Liqiang Nie
DiffM
63
10
0
05 Sep 2024
A Simple Background Augmentation Method for Object Detection with
  Diffusion Model
A Simple Background Augmentation Method for Object Detection with Diffusion Model
Yuhang Li
Jun Gao
Chen Chen
Yue Zhang
Jielei Zhang
DiffM
37
5
0
01 Aug 2024
Diffusion Feedback Helps CLIP See Better
Diffusion Feedback Helps CLIP See Better
Wenxuan Wang
Quan-Sen Sun
Fan Zhang
Yepeng Tang
Jing Liu
Xinlong Wang
VLM
46
14
0
29 Jul 2024
Weak-to-Strong Compositional Learning from Generative Models for
  Language-based Object Detection
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
Kwanyong Park
Kuniaki Saito
Donghyun Kim
VLM
CoGe
53
0
0
21 Jul 2024
DataDream: Few-shot Guided Dataset Generation
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim
Jessica Bader
Stephan Alaniz
Cordelia Schmid
Zeynep Akata
39
5
0
15 Jul 2024
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Yicheng Chen
Xiangtai Li
Yining Li
Yanhong Zeng
Jianzong Wu
Xiangyu Zhao
Kai Chen
VLM
DiffM
56
3
0
28 Jun 2024
StableSemantics: A Synthetic Language-Vision Dataset of Semantic
  Representations in Naturalistic Images
StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
Rushikesh Zawar
Shaurya Dewan
Andrew F. Luo
Margaret M. Henderson
Michael J. Tarr
Leila Wehbe
VGen
CoGe
44
1
0
19 Jun 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised
  Representations
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Reza Akbarian Bafghi
Nidhin Harilal
C. Monteleoni
M. Raissi
DiffM
38
0
0
18 Jun 2024
Decomposed evaluations of geographic disparities in text-to-image models
Decomposed evaluations of geographic disparities in text-to-image models
Abhishek Sureddy
Dishant Padalia
Nandhinee Periyakaruppa
Oindrila Saha
Adina Williams
Adriana Romero Soriano
Megan Richards
Polina Kirichenko
Melissa Hall
EGVM
21
0
0
17 Jun 2024
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate
  Associative Bias
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias
Salma Abdel Magid
Jui-Hsien Wang
Kushal Kafle
Hanspeter Pfister
44
1
0
17 Jun 2024
Consistency-diversity-realism Pareto fronts of conditional image
  generative models
Consistency-diversity-realism Pareto fronts of conditional image generative models
Pietro Astolfi
Marlene Careil
Melissa Hall
Oscar Manas
Matthew Muckley
Jakob Verbeek
Adriana Romero Soriano
M. Drozdzal
51
10
0
14 Jun 2024
Exploring the Spectrum of Visio-Linguistic Compositionality and
  Recognition
Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition
Youngtaek Oh
Pyunghwan Ahn
Jinhyung Kim
Gwangmo Song
Soonyoung Lee
In So Kweon
Junmo Kim
CoGe
45
2
0
13 Jun 2024
Dataset Enhancement with Instance-Level Augmentations
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn
Christian Rupprecht
45
9
0
12 Jun 2024
DiffInject: Revisiting Debias via Synthetic Data Generation using
  Diffusion-based Style Injection
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
Donggeun Ko
Sangwoo Jo
Dongjun Lee
Namjun Park
Jaekwang Kim
32
0
0
10 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
40
1
0
09 Jun 2024
Regularized Training with Generated Datasets for Name-Only Transfer of
  Vision-Language Models
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park
S. Park
Jooyeol Yun
Jaegul Choo
VLM
35
0
0
08 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via
  Synthetic-Domain Alignment
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo
Junhao Zhao
Chunjiang Ge
Chaoqun Du
Zanlin Ni
Shiji Song
Humphrey Shi
Gao Huang
TTA
DiffM
42
5
0
06 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Hao Chen
Yujin Han
Diganta Misra
Xiang Li
Kai Hu
Difan Zou
Masashi Sugiyama
Jindong Wang
Bhiksha Raj
DiffM
47
5
0
30 May 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
46
18
0
30 May 2024
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces
Yusuke Akamatsu
Terumi Umematsu
Hitoshi Imaoka
Shizuko Gomi
Hideo Tsurushima
94
0
0
25 May 2024
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