I'm not new to NotebookLM. I use it practically daily as a research tool, a place to dump information about topics I'm researching, and even to ideate angles based on my own research. But recently, ...
Abstract: Point cloud completion aims to acquire complete and high-fidelity point clouds from partial and low-quality point clouds, which are used in remote sensing applications. Existing methods tend ...
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SSD prices are skyrocketing: Why you should stock up on USB drives
This $75 USB drive is faster than a SATA SSD (And fits in your pocket) ...
Official PyTorch implementation of the paper ''A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration'' accepted by NeurIPS 2024 as poster. We present a ...
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: Existing works have made some progress in point cloud registration, but most of them measure performance only on point cloud pairs with high overlap. In practical applications, it is often ...
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