Abstract: We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module with ...
Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
Abstract: In this paper, we mainly research lossy octree-based point cloud geometry compression. We analyze data characteristics of different point clouds and propose lossy approaches specifically ...
Researchers at the University of Tsukuba conducted a three-year observational study (January 2019–December 2021) using a network of live cameras to monitor characteristic clouds around Mount Fuji.
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