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Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic
  Edge-Aware Bokeh

Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh

25 August 2022
Brian Lee
Fei Lei
Huaijin Chen
Alexis Baudron
    MDE
ArXivPDFHTML

Papers citing "Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh"

3 / 3 papers shown
Title
Bokeh Rendering Based on Adaptive Depth Calibration Network
Bokeh Rendering Based on Adaptive Depth Calibration Network
Lu Liu
Lei Zhou
Yuhan Dong
MDE
17
4
0
21 Feb 2023
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
M. Levoy
3DH
MDE
177
176
0
11 Jun 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
1