Cover Image

Overview and Comparison of AVS Point Cloud Compression Standard

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Wei, Gao, Wenxu, Mu, Xingming, Peng, Changhao, Li, Ge
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision
by: Liang, Xie, et al.
Published: (2025)

Octree-based Learned Point Cloud Geometry Compression: A Lossy Perspective
by: Zheng, Kaiyu, et al.
Published: (2026)

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
by: Pan, Zhiyi, et al.
Published: (2024)

AnyPcc: Compressing Any Point Cloud with a Single Universal Model
by: Wang, Kangli, et al.
Published: (2025)

Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
by: Pan, Zhiyi, et al.
Published: (2023)

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

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
by: You, Kang, et al.
Published: (2024)

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
by: Ye, Yuqi, et al.
Published: (2024)

Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression
by: Chen, Yueru, et al.
Published: (2025)

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
by: Yang, Hongcheng, et al.
Published: (2024)

Recent Advances of End-to-End Video Coding Technologies for AVS Standard Development
by: Sheng, Xihua, et al.
Published: (2026)

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding
by: Pan, Zhiyi, et al.
Published: (2024)

VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
by: Sun, Shangkun, et al.
Published: (2024)

A Real-Time Multi-Model Parametric Representation of Point Clouds
by: Gao, Yuan, et al.
Published: (2025)

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
by: Li, Shengtao, et al.
Published: (2024)

Stochasticity-aware No-Reference Point Cloud Quality Assessment
by: Fan, Songlin, et al.
Published: (2024)

Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development
by: Zhao, Runkai, et al.
Published: (2023)

ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding
by: Peng, Qihang, et al.
Published: (2025)

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

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization
by: Zhang, Zhimin, et al.
Published: (2024)

3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation
by: Wei, Weijie, et al.
Published: (2024)

PVINet: Point-Voxel Interlaced Network for Point Cloud Compression
by: Deng, Xuan, et al.
Published: (2025)

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior
by: Mu, Juncheng, et al.
Published: (2025)

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

Building-PCC: Building Point Cloud Completion Benchmarks
by: Gao, Weixiao, et al.
Published: (2024)

Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing
by: Lu, Dening, et al.
Published: (2024)

Point Cloud-Assisted Neural Image Compression
by: Li, Ziqun, et al.
Published: (2024)

Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes
by: Wang, Yaoting, et al.
Published: (2024)

Random Walk on Point Clouds for Feature Detection
by: Zhang, Yuhe, et al.
Published: (2026)

Towards Practical Lossless Neural Compression for LiDAR Point Clouds
by: Yu, Pengpeng, et al.
Published: (2026)

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation
by: Gong, Sitong, et al.
Published: (2025)

Transferable and Undefendable Point Cloud Attacks via Medial Axis Transform
by: Tang, Keke, et al.
Published: (2025)

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

DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning
by: Gao, Ziqi, et al.
Published: (2025)

CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
by: Qu, Kanglin, et al.
Published: (2025)

PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
by: Wang, Duanchu, et al.
Published: (2026)

Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding
by: Qian, Guocheng, et al.
Published: (2022)

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences
by: Zeng, Huajian, et al.
Published: (2024)

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