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A Generative Adversarial Approach with Residual Learning for Dust and
  Scratches Artifacts Removal

A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal

22 September 2020
Ionut Mironica
    GAN
ArXivPDFHTML

Papers citing "A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal"

4 / 4 papers shown
Title
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media
  Damage
ARTeFACT: Benchmarking Segmentation Models on Diverse Analogue Media Damage
D. Ivanova
Marco Aversa
Paul Henderson
John Williamson
99
0
0
05 Dec 2024
Enhancing Printed Circuit Board Defect Detection through Ensemble
  Learning
Enhancing Printed Circuit Board Defect Detection through Ensemble Learning
Ka Nam Canaan Law
Mingshuo Yu
Lianglei Zhang
Yiyi Zhang
Peng Xu
Jerry Gao
Jun Liu
53
0
0
14 Sep 2024
Simulating analogue film damage to analyse and improve artefact
  restoration on high-resolution scans
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans
D. Ivanova
John Williamson
Paul Henderson
29
2
0
20 Feb 2023
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
478
15,657
0
02 Nov 2015
1