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E4C: Enhance Editability for Text-Based Image Editing by Harnessing
  Efficient CLIP Guidance

E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance

15 March 2024
Tianrui Huang
Pu Cao
Lu Yang
Chun Liu
Mengjie Hu
Zhiwei Liu
Qing-Huang Song
    DiffM
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Papers citing "E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance"

2 / 2 papers shown
Title
Generating images of rare concepts using pre-trained diffusion models
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel
Rami Ben-Ari
Simon Raviv
N. Darshan
Gal Chechik
120
38
0
27 Apr 2023
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
1