Cover Image

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hsieh, Kai-Hsiang, Yim, Monyneath, Peng, Wen-Hsiao, Chiang, Jui-Chiu
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression
by: Hsieh, Kai Hsiang, et al.
Published: (2025)

Blind Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2026)

Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds
by: Liu, Kai, et al.
Published: (2024)

STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
by: Guo, Tian, et al.
Published: (2025)

Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization
by: Bao, Jingwei, et al.
Published: (2024)

Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
by: Yim, Jae-Young, et al.
Published: (2024)

Exploring Autoregressive Vision Foundation Models for Image Compression
by: Phung, Huu-Tai, et al.
Published: (2025)

Transformer-based Learned Image Compression for Joint Decoding and Denoising
by: Chen, Yi-Hsin, et al.
Published: (2024)

Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
by: Nguyen, Dat Thanh, et al.
Published: (2023)

Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions
by: Prazeres, Joao, et al.
Published: (2024)

Quality Analysis of the Coding Bitrate Tradeoff Between Geometry and Attributes for Colored Point Clouds
by: Prazeres, Joao, et al.
Published: (2024)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
by: Ma, Wanhao, et al.
Published: (2025)

J-SGFT: Joint Spatial and Graph Fourier Domain Learning for Point Cloud Attribute Deblocking
by: Talha, Muhammad, et al.
Published: (2025)

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
by: Mao, Xiaolong, et al.
Published: (2024)

End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
by: Nguyen, Dat Thanh, et al.
Published: (2024)

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
by: Peng, Changhao, et al.
Published: (2025)

High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC
by: Wei, Yuxuan, et al.
Published: (2025)

Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control
by: Rudolph, Michael, et al.
Published: (2024)

UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
by: Wang, Kangli, et al.
Published: (2025)

Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
by: Liu, Kai, et al.
Published: (2024)

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
by: Li, Dingquan, et al.
Published: (2024)

LPCM: Learning-based Predictive Coding for LiDAR Point Cloud Compression
by: Sun, Chang, et al.
Published: (2025)

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
by: Xu, Hao, et al.
Published: (2024)

Geometric Prior Based Deep Human Point Cloud Geometry Compression
by: Wu, Xinju, et al.
Published: (2023)

Inter-Frame Compression for Dynamic Point Cloud Geometry Coding
by: Akhtar, Anique, et al.
Published: (2022)

On the Impact of LiDAR Point Cloud Compression on Remote Semantic Segmentation
by: Fernandes, Tiago de S., et al.
Published: (2025)

Conditional Residual Coding with Explicit-Implicit Temporal Buffering for Learned Video Compression
by: Chen, Yi-Hsin, et al.
Published: (2025)

A Cross-Framework Study of Temporal Information Buffering Strategies for Learned Video Compression
by: Ho, Kuan-Wei, et al.
Published: (2025)

DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
by: Fu, Chunyang, et al.
Published: (2026)

Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
by: Do, Tam Thuc, et al.
Published: (2023)

LiDAR Depth Map Guided Image Compression Model
by: Gnutti, Alessandro, et al.
Published: (2024)

Graph-based Scalable Sampling of 3D Point Cloud Attributes
by: Sridhara, Shashank N., et al.
Published: (2024)

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
by: Pan, Zhenghao, et al.
Published: (2024)

DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression
by: Fu, Chunyang, et al.
Published: (2026)

SurfelSoup: Learned Point Cloud Geometry Compression With a Probablistic SurfelTree Representation
by: Fan, Tingyu, et al.
Published: (2026)

MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression
by: Chen, Yi-Hsin, et al.
Published: (2023)

SCP: Spherical-Coordinate-based Learned Point Cloud Compression
by: Luo, Ao, et al.
Published: (2023)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
by: Chen, Chuang, et al.
Published: (2025)

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
by: Pang, Jiahao, et al.
Published: (2024)

Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
by: Wu, Xinju, et al.
Published: (2020)