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The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
16 June 2023
Roy Voetman
Maya Aghaei
K. Dijkstra
DiffM
Re-assign community
ArXiv (abs)
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Papers citing
"The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models"
4 / 4 papers shown
Title
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models
Yongtao Ge
Wenjia Wang
Yongfan Chen
Hao Chen
Chunhua Shen
3DH
72
8
0
17 Mar 2024
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
Ming Tao
Hao Tang
Leilei Gan
Xiaoyuan Jing
Bingkun Bao
Changsheng Xu
126
214
0
13 Aug 2020
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz
Stefan Heinrich
S. Wermter
EGVM
130
159
0
29 Oct 2019
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
183
15,668
0
25 Dec 2016
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