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Real-Fake: Effective Training Data Synthesis Through Distribution Matching
v1v2 (latest)

Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Jianhao Yuan
Jie Zhang
Shuyang Sun
Philip Torr
Bo Zhao
ArXiv (abs)PDFHTML

Papers citing "Real-Fake: Effective Training Data Synthesis Through Distribution Matching"

3 / 3 papers shown
Title
Provably Improving Generalization of Few-Shot Models with Synthetic Data
Provably Improving Generalization of Few-Shot Models with Synthetic Data
Lan-Cuong Nguyen
Quan Nguyen-Tri
Bang Tran Khanh
Dung D. Le
Long Tran-Thanh
Khoat Than
58
0
0
30 May 2025
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
VLMSyDaLM&MAMedIm
161
2
0
17 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Philip Torr
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
115
3
0
07 Oct 2024

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