Voxel Based
Voxel-based methods represent a significant area of research in 3D data processing, aiming to efficiently represent and analyze volumetric information across diverse applications. Current research focuses on improving the accuracy and efficiency of voxel-based models, particularly through the development of novel architectures like voxel-based neural networks, transformers, and hybrid approaches combining voxel and point cloud representations. These advancements are driving progress in fields such as medical image analysis, autonomous driving (3D object detection), and 3D scene reconstruction, enabling more accurate and computationally efficient solutions for complex tasks.
Papers
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