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20242026
most citedPointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2025

Efficient LiDAR Reflectance Compression via Scanning Serialization

Jiahao Zhu, Kang You, Dandan Ding +1

Reflectance attributes in LiDAR point clouds provide essential information for downstream tasks but remain underexplored in neural compression methods. To address this, we introduc…

cs.CV2025

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds

Kang You, Tong Chen, Dandan Ding +2

Despite the substantial advancements demonstrated by learning-based neural models in the LiDAR Point Cloud Compression (LPCC) task, realizing real-time compression - an indispensab…