point-cloud-compression

Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

[AAAI 2025] Official Implementation for "UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach"

[CVPR 2025] This is the official PyTorch implementation of our paper "TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression"

[CVPR 2026] Official Implementation for "AnyPcc: Compressing Any Point Cloud with a Single Universal Model"

SGA-DPCC (Scene Graph-Aware Deep Point Cloud Compression), published @ RA-L'25, presented @ ICRA'26

[official] DCC 2024: Lightweight super resolution network for point cloud geometry compression

[MMSP 2023, PCS 2024]

UniGSC is a highly modular and extensible framework for compressing static and dynamic Gaussian Splats, supporting both video and point cloud codecs. It’s designed for researchers and developers to quickly prototype, evaluate, and extend Gaussian Splats compression pipelines.

(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.

The code of "Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds"

Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds

Geometry Point Cloud Compression with Morton order

Barrier-certified (CBF) rate control for streaming point cloud compression — code for the paper

Honest RD evaluation for compression research: gate-checked Bjontegaard (BD-rate) metrics, matched-quality single-point comparison, publication-style RD plots

Benchmark of compressing sequential point clouds