Advances in Deep Learning, Computer Graphics and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 458
Editor
Interests: digital geometry processing; geometric optimization; 3D reconstruction; computational geometry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the integration of deep learning and computer graphics has emerged as an important research direction in the fields of artificial intelligence and visual computing. Deep learning techniques have achieved remarkable progress in tasks such as image generation, three-dimensional modeling, virtual and augmented reality, and scientific visualization.
In computer graphics, data often possesses complex geometric structures, including 3D meshes, point clouds, and manifold-based representations. geometric deep learning, which combines deep neural networks with tools from graph theory, differential geometry, and spectral analysis. This interdisciplinary approach has become a major research focus in modern visual computing.
This Special Issue aims to collect the latest research advances at the intersection of deep learning and computer graphics, with a particular focus on mathematical foundations, algorithmic innovations, and emerging applications. Contributions addressing theoretical developments, computational methods, and practical systems are especially encouraged.
The main topics of interest include, but are not limited to, the following:
- Theoretical foundations and algorithmic developments in deep learning;
- Geometric deep learning and 3D visual computing;
- Neural rendering and implicit field representations;
- Geometric feature modeling and recognition;
- Geometric transformations and graphics processing;
- Shape optimization and geometric optimization methods.
Dr. Shiqing Xin
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computational graphics
- geometric deep learning
- graphic shading
- rendering
- geometric optimization
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