Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-learned-point-cloud-compression
A list of papers about deep point cloud compression.
https://github.com/kaiwangm/awesome-learned-point-cloud-compression
Last synced: 41 minutes ago
JSON representation
-
Papers
-
2023
- [ACM MM - based Point Cloud Compressor. [[Pytorch](https://github.com/3dpcc/YOGAv1)]
- [ACM MM - frame Block.
- [CVPR
- [TMM
- [arxiv
- [ICASSP
- [DCC - scale, Cross-group, and Cross-color Prediction.
- [ICASSP
- [ICASSP
- [APSIPA ASC - based point cloud attribute compression using Augmented Normalizing Flows.
- [TIP - Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute. [[Pytorch](https://github.com/xjr998/GQE-Net)]
- [arixiv
- [TIP - Lossless Compression of Point Cloud Attribute Using Quantization Parameter Cascading and Rate-Distortion Optimization.
- [TPAMI - D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning.
- [TVCG - PCC Compressed Point Clouds Using Auxiliary Density Signaling. [[Pytorch](https://github.com/3dpcc/GRNet)]
- [CVM
- [TMM
- [unpublished
- [ACM MM - based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds. [[C++](https://github.com/Yanggoo/PDE-basedPointCloudCompression)]
-
2022
- [TCSVT
- [ARXIV
- [ARXIV - Based Deep Autoencoder for Lossy Point Cloud Geometry Compression. [[Pytorch](https://github.com/I2-Multimedia-Lab/IPDAE)]
- [ICME - Based Dual-Branch Restoration Network for Geometry Based Point Cloud Compression Artifacts.
- [ECCV - S)]
- [APCCPA - Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression. [[Pytorch](https://github.com/InterDigitalInc/GRASP-Net)]
- [AAAI - based Large-scale Context Model for Point Cloud Compression. [[Pytorch](https://github.com/zb12138/OctAttention)]
- [CVPR - preserving Deep Point Cloud Compression. [[Pytorch](https://github.com/yunhe20/D-PCC)]
- [CVPR
- [APCCPA - Based Point Cloud Compression. [[Pytorch](https://github.com/arsx958/PCT_PCC)]
-
2021
- [TCSVT - to-End Learning.
- [DCC - point-cloud-geometry-compression)]
- [DCC - DCGAN: A deep learning model for 3D point cloud lossy geometry compression. [[Presentation](https://sigport.org/documents/point-ae-dcgan-deep-learning-model-3d-point-cloud-lossy-geometry-compression)]
- [CVPR - Net: An Octree based Framework for Point Cloud Compression.
- [ICASPP - Based Lossless Compression of 3D Point Cloud Geometry. [[Tensorflow](https://github.com/Weafre/VoxelDNN)]
- [RAL-ICRA - point-map-compression)]
- [arXiv
- [TCSVT
- [ICIP
-
2020
- [ICME - Guided Network. [[Tensorflow](https://github.com/wxz1996/pc_compress)]
- [MMSP
- [CVPR - Structured Entropy Model for LiDAR Compression.
- [NIPS
- [ICIP - Based Compression Of Point Cloud Attributes. [[Tensorflow](https://github.com/mauriceqch/pcc_attr_folding)]
- [ICIP - Based Autoencoder For Point Cloud Geometry Compression.
-
2019
-
2016
- [MM - based compression of dynamic 3D point cloud sequences.
-
2024
- [MMVE
- [TPAMI
- [TPAMI
- [TCSVT - aware Rate Control for Geometry-based Point Cloud Compression.
- [VCIP
- [ICASSP
- [VCIP
- [arxiv - Conditioned Latents Probability Estimator.
- [arxiv - Multimedia-Lab/PoLoPCAC)]
- [TMM - Space Point Geometry Compression with Progressive Relation-Aware Transformer.
- [ICASSP
- [ICASSP - Guided Graph Fourier Transform.
- [ICASSP - Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry.
- [IET
- [ICASSP
- [TVCG - Driven Approach and A Rules-Unrolling-Based Optimization.
-
-
Others
-
2016
- [ICRA '12 - time compression of point cloud streams.
- [MM - Adaptive Hierarchical Transform.
- [Draco
- [MPEG V-PCC - PCC) test model (tmc2).
- [MPEG G-PCC - PCC) test model (tmc13).
- [CAS '18
-
2018
- [ICIP - Frame Context-Based Octree Coding for Point-Cloud Geometry.
-
2021
- [TCSVT - wise Processing.
-
2020
- [IROS - Time Spatio-Temporal LiDAR Point Cloud Compression. [[C++ '1](https://github.com/yaoli1992/LiDAR-Point-Cloud-Compression)] [[C++ '2](https://github.com/horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression)]
-
-
Datasets
Programming Languages
Categories
Keywords