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ScribbleGen: Generative Data Augmentation Improves Scribble-supervised
  Semantic Segmentation

ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation

28 November 2023
Jacob Schnell
Jieke Wang
Lu Qi
Vincent Tao Hu
Meng Tang
    DiffM
ArXivPDFHTML

Papers citing "ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation"

4 / 4 papers shown
Title
Human Motion Diffusion Model
Human Motion Diffusion Model
Guy Tevet
Sigal Raab
Brian Gordon
Yonatan Shafir
Daniel Cohen-Or
Amit H. Bermano
DiffM
VGen
177
713
0
29 Sep 2022
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
Zhiyuan Liang
Tiancai Wang
X. Zhang
Jian-jun Sun
Jianbing Shen
27
45
0
21 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
175
494
0
22 Feb 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
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