DeepProp: Extracting Deep Features from a Single Image for Edit Propagation

By Yuki Endo, Satoshi Iizuka, Yoshihiro Kanamori, Jun Mitani. 2016

70 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Richard Zhang
2. Jun-Yan Zhu
3. Phillip Isola
4. Alexei A. Efros
5. Bryan C. Russell
6. Xiuming Zhang
7. Zhoutong Zhang
8. Eli Shechtman

In Computer Vision and Pattern Recognition

1. Jitendra Malik
2. Luc Van Gool
3. Trevor Darrell
4. Alexei A. Efros
5. Ming-Hsuan Yang
6. Jun-Yan Zhu
7. Dacheng Tao
8. Andrea Vedaldi

Citations in the corpus

• Real-time user-guided image colorization with learned deep priors (2017, methodology): “Baselines (Barron and Poole 2016; Endo et al. 2016; Levin et al. 2004) are computed with publicly available code from the authors.”
• Editing Conditional Radiance Fields (2021, background): “A closely related concept is edit propagation [3, 19, 23, 74, 77], which propagates sparse user edits on a single image to an entire photo collection or video.”