Emerging Research in 3D Graphics and Computer Vision
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 27
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent advancements in 3D graphics and computer vision are driving transformative breakthroughs across artificial intelligence, virtual reality, autonomous driving, medical imaging, robotics, and beyond. These technologies are revolutionizing how machines perceive, interpret, and interact with the three-dimensional world, enabling unprecedented levels of realism, automation, and intelligence in digital systems.
The main aim of this Special Issue is to bring together cutting-edge research and innovative applications at the intersection of 3D graphics and computer vision. We seek high-quality contributions that address both fundamental challenges and real-world implementations, fostering interdisciplinary collaboration among researchers and practitioners. Topics of interest include, but are not limited to, the following:
- Three-dimensional reconstruction and modeling: novel techniques for depth estimation, point cloud processing, mesh generation, and neural implicit representations.
- Scene understanding and semantic perception: methods for 3D object detection, segmentation, pose estimation, and geometric reasoning in complex environments.
- Augmented and virtual reality (AR/VR): immersive rendering, real-time 3D interaction, and photorealistic avatars for next-generation virtual experiences.
- Autonomous systems: 3D vision for navigation, sensor fusion, SLAM (simultaneous localization and mapping), and decision-making in robotics and self-driving vehicles.
- Medical and scientific visualization: applications in 3D medical imaging, surgical planning, volumetric reconstruction, and computational biology.
- Efficient and scalable algorithms: optimization techniques, lightweight architectures, and edge-computing solutions for real-time 3D vision applications.
- Neural rendering and generative 3D models: advances in neural radiance fields (NeRF), generative adversarial networks (GANs) for 3D content, and differentiable rendering techniques.
- Multiview and multimodal learning: fusion of image, depth, LiDAR, audio, or textual data for enhanced 3D understanding.
- Three-dimensional data annotation and benchmarking: large-scale 3D datasets, annotation pipelines, synthetic data generation, and evaluation metrics.
- Human-centric 3D vision: body and face modeling, gesture recognition, eye tracking, human-scene interaction, and social signal understanding in 3D environments.
- Ethical and societal implications: bias, fairness, privacy, and explainability in 3D vision systems and applications.
Dr. Xianfang Sun
Guest Editor
Manuscript Submission Information
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Keywords
- computer vision
- 3D vision
- virtual reality
- 3D reconstruction
- augmented reality
- object detection
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