Sparse Tensor-based Point Cloud Attribute Compression

Author:

Wang Jianqiang1,Ma Zhan1

Affiliation:

1. Nanjing University,Vision Lab,Jiangsu,China,210093

Publisher

IEEE

Reference23 articles.

1. OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

2. Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks;isik;ArXiv,2021

3. Microsoft coco: Common objects in context;lin;ECCV,2014

4. Joint autoregressive and hierarchical priors for learned image compression;minnen;IEEE NeurIPS,2018

5. Lossless Coding of Point Cloud Geometry Using a Deep Generative Model

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1. 3-D Point Cloud Attribute Compression With -Laplacian Embedding Graph Dictionary Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

2. Sparse Tensor-based point cloud attribute compression using Augmented Normalizing Flows;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

3. Towards a Multiscale Point Cloud Structural Similarity Metric;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27

4. Color Attribute Compression for Block Based Representation of Point Cloud;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

5. WITHDRAWN: A Review Of The Latest Research Technologies Related To 3D Point Cloud;Cognitive Robotics;2023-09

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