Background
3D reconstruction and generation technologies play a crucial role in advancing various fields such as virtual reality, augmented reality, autonomous driving, embodied intelligence, and medical image analysis. With the emergence of advanced methods like neural radiance fields, 3D gaussian splatting, and diffusion models, 3D reconstruction and generation technologies are undergoing a profound transformation. In response, the journal “Frontier of Compute Science” is organizing a special issue titled “Frontiers of 3D Reconstruction and Generation”. This special issue aims to presenting the latest research trends and technical achievements in this field, exploring its theoretical foundations, practical applications, and future development trends.
Topic of Interests
This special issue focuses on the key technologies of 3D reconstruction and generation across various domains, such as virtual/augmented reality, gaming, film production, computer-aided design, Metaverse, autonomous driving, robotics, and embodied AI. The corresponding techniques cover 3D reconstruction and generation aiming to foster breakthroughs and address critical problems within this domain. The topics include, but are not limited to:
- 3D reconstruction, including single or sparse views, large-scale, without camera pose, and various disturbances.
- 3D asset generation, including 3D meshes, materials, textures, scenes, etc.
- 3D scene/object editing or stylization, including instruction-based editing, drag-based editing, multi-object interaction, and style transfer
- 3D human generation, reconstruction, and manipulation
- Dynamic (4D) scene reconstruction and generation
- Applications of 3D representations in fields like autonomous driving, robotics, physical simulation, or other interdisciplinary tasks
- Dataset, evaluation metrics and benchmarks for 3D reconstruction and generation
Important Dates
Submission Deadline: 2025/03/28
Notification of Acceptance: 2025/05/30
Final Manuscript Due: 2025/08/30
Guest Editors
Zhaoxiang ZHANG, Institute of Automation, CAS
Lin GAO, Institute of Computing Technology, CAS
Xin YANG, Dalian University of Technology
Miao WANG, Beihang University
Bineng ZHONG, Guangxi Normal University
Kun ZHOU, Zhejiang University
Online Submission
http://mc.manuscriptcentral.com/hepfcs
Select the manuscript type as " Frontiers of 3D Reconstruction and Generation".
The template can be found at the above site.