Results 31 to 40 of about 23,696 (202)
Image inpainting methods have shown significant improvements by using deep neural networks recently. However, many of these techniques often create distorted structures or blurry textures inconsistent with surrounding areas. The problem is rooted in the encoder layers' ineffectiveness in building a complete and faithful embedding of the missing regions.
Maitreya Suin +2 more
openaire +2 more sources
Circular LSTM for Low-Dose Sinograms Inpainting
Computed tomography (CT) is usually accompanied by a long scanning time and substantial patient radiation exposure. Sinograms are the basis for constructing CT scans; however, continuous sinograms may highly overlap, resulting in extra radiation exposure.
Chin Kuo +3 more
doaj +1 more source
Adversarial Inpainting of Medical Image Modalities
Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans.
Armanious, Karim +3 more
core +1 more source
Virtual restoration of the Ghent altarpiece using crack detection and inpainting [PDF]
In this paper, we present a new method for virtual restoration of digitized paintings, with the special focus on the Ghent Altarpiece (1432), one of Belgium's greatest masterpieces.
Cornelis, Bruno +9 more
core +1 more source
Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis
Machine learning models have been successfully applied for analysis of skin images. However, due to the black box nature of such deep learning models, it is difficult to understand their underlying reasoning. This prevents a human from validating whether
Meike Nauta +3 more
doaj +1 more source
Introducing SPAIN (SParse Audio INpainter)
A novel sparsity-based algorithm for audio inpainting is proposed. It is an adaptation of the SPADE algorithm by Kiti\'c et al., originally developed for audio declipping, to the task of audio inpainting.
blumensath +12 more
core +1 more source
The Piano Inpainting Application
Autoregressive models are now capable of generating high-quality minute-long expressive MIDI piano performances. Even though this progress suggests new tools to assist music composition, we observe that generative algorithms are still not widely used by artists due to the limited control they offer, prohibitive inference times or the lack of ...
Gaëtan Hadjeres, Léopold Crestel
openaire +2 more sources
Spatio-temporal image inpainting for video applications [PDF]
Video inpainting or completion is a vital video improvement technique used to repair or edit digital videos. This paper describes a framework for temporally consistent video completion.
Voronin Viacheslav +4 more
doaj +1 more source
Nonlocal Inpainting of Manifold-valued Data on Finite Weighted Graphs
Recently, there has been a strong ambition to translate models and algorithms from traditional image processing to non-Euclidean domains, e.g., to manifold-valued data. While the task of denoising has been extensively studied in the last years, there was
Bergmann, Ronny, Tenbrinck, Daniel
core +1 more source
Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey
Digitized methodologies in the recent era contribute to various fields of automation that used to hold different interests and meanings of human life. Buildings with historical significance, cultural values, and beliefs are becoming an interdisciplinary ...
Arkaprabha Basu +6 more
doaj +1 more source

