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Deep Photo Scan: Semi-Supervised Learning for dealing with the
  real-world degradation in Smartphone Photo Scanning

Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning

11 February 2021
Man M. Ho
Jinjia Zhou
ArXivPDFHTML

Papers citing "Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning"

2 / 2 papers shown
Title
Descanning: From Scanned to the Original Images with a Color Correction
  Diffusion Model
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
Junghun Cha
Ali Haider
Seoyun Yang
Hoeyeong Jin
Subin Yang
A. Uddin
Jaehyoung Kim
Soo Ye Kim
Sung-Ho Bae
DiffM
25
2
0
08 Feb 2024
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1