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Computational Visual Media

Computational Visual Media OnlineFirst articles

14.04.2020 | Research Article Open Access

JMNet: A joint matting network for automatic human matting

We propose a novel end-to-end deep learning framework, the Joint Matting Network (JMNet), to automatically generate alpha mattes for human images. We utilize the intrinsic structures of the human body as seen in images by introducing a pose …

02.04.2020 | Research Article Open Access

A detail preserving neural network model for Monte Carlo denoising

Monte Carlo based methods such as path tracing are widely used in movie production. To achieve low noise, they require many samples per pixel, resulting in long rendering time. To reduce the cost, one solution is Monte Carlo denoising, which …

02.04.2020 | Research Article Open Access

G2MF-WA: Geometric multi-model fitting with weakly annotated data

In this paper we address the problem of geometric multi-model fitting using a few weakly annotated data points, which has been little studied so far. In weak annotating (WA), most manual annotations are supposed to be correct yet inevitably mixed …

04.12.2019 | Research Article Open Access

Interactive modeling of lofted shapes from a single image

Modeling the complete geometry of general shapes from a single image is an ill-posed problem. User hints are often incorporated to resolve ambiguities and provide guidance during the modeling process. In this work, we present a novel interactive …

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Über diese Zeitschrift

Computational Visual Media is a peer-reviewed open access journal published under the brand SpringerOpen. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media.

Computational Visual Media publishes articles that focus on, but are not limited to, the following areas:

• 3D visual media processing

• Classification and composition of visual media

• Cognition of visual media

• Content security for visual media

• Enhancement and re-rendering of visual media

• Geometric computing for images and video


• Interactive editing of visual media

• Machine learning for visual media


• Social media computing

• Understanding of visual media

• Visual media retrieval


• Visualization and visual analytics

Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal's scope.

This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.

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