CRISP: Cylindrical Rendering for In-Stream Point Clouds

Conventional point cloud rendering methods are based on the assumption that the complete point cloud is used as input data. However, these methods exhibit limitations in real-world applications, particularly in-stream environments. In the real-world, the acquisition and transmission of point clouds inevitably involve compression, resulting in degraded point clouds that should be rendered effectively. To address these challenges, we proposed a novel point cloud rendering method through cylindrical projection. This approach projects the entire point cloud radially onto a 2D cylindrical map based on its central axis, enabling grid-based 2D processing. This method provides stable and consistent performance even with sparse or incomplete point clouds. Extensive benchmark experiments have revealed that the proposed framework effectively renders various scenes and objects without requiring additional fine-tuning and demonstrated superior performance and generalization ability in in-stream environments compared with conventional methods. The source code is available at https://github.com/crisp134/CRISP.