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PyCharm and Google Colab are finally joining forces.
Abstract: Point cloud registration, which estimates a rigid transformation matrix between two point clouds, is a fundamental process in numerous applications. While existing detector-free techniques ...
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 ...
ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...