Imagen de Portada

Point Cloud Compression via Constrained Optimal Transport

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zezeng, Wang, Weimin, Wang, Ziliang, Lei, Na
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
por: Zimmer, Walter, et al.
Publicado: (2024)

Sparse Point Clouds Assisted Learned Image Compression
por: Jiang, Yiheng, et al.
Publicado: (2024)

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

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

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

Scalable Human-Machine Point Cloud Compression
por: Ulhaq, Mateen, et al.
Publicado: (2024)

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

Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering
por: Hu, Yueyu, et al.
Publicado: (2024)

PVContext: Hybrid Context Model for Point Cloud Compression
por: Zhang, Guoqing, et al.
Publicado: (2024)

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

U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation
por: Fan, Tingyu, et al.
Publicado: (2024)

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

Point Cloud Compression and Objective Quality Assessment: A Survey
por: Xu, Yiling, et al.
Publicado: (2025)

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

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

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

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

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
por: Zhang, Xiaoge, et al.
Publicado: (2024)

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

PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport
por: Guo, Tian, et al.
Publicado: (2025)

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

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

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
por: You, Kang, et al.
Publicado: (2025)

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

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

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

Learned Compression for Images and Point Clouds
por: Ulhaq, Mateen
Publicado: (2024)

Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor
por: Liu, Lei, et al.
Publicado: (2024)

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression
por: Hsieh, Kai-Hsiang, et al.
Publicado: (2025)

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
por: Yang, Qi, et al.
Publicado: (2025)

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

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

A Survey of Medical Point Cloud Shape Learning: Registration, Reconstruction and Variation
por: Zhang, Tongxu, et al.
Publicado: (2025)

Perceptual Constancy Constrained Single Opinion Score Calibration for Image Quality Assessment
por: Wang, Lei, et al.
Publicado: (2024)

Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
por: Wang, Qizhe, et al.
Publicado: (2025)

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
por: Nie, Ziming, et al.
Publicado: (2025)

NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
por: Li, Zezeng, et al.
Publicado: (2025)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
por: Dong, Xuanzhao, et al.
Publicado: (2024)

Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
por: Zheng, Taoran, et al.
Publicado: (2025)