Image de couverture de livre

HybridINR-PCGC: Hybrid Lossless Point Cloud Geometry Compression Bridging Pretrained Model and Implicit Neural Representation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Wenjie, Yang, Qi, Xia, Shuting, Huang, He, Li, Zhu, Xu, Yiling
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression
par: Huang, Wenjie, et autres
Publié: (2025)

Point Cloud Compression and Objective Quality Assessment: A Survey
par: Xu, Yiling, et autres
Publié: (2025)

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
par: Ye, Yuqi, et autres
Publié: (2024)

A Hierarchical Compression Technique for 3D Gaussian Splatting Compression
par: Huang, He, et autres
Publié: (2024)

UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
par: Wang, Kangli, et autres
Publié: (2025)

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement
par: Xu, Hao, et autres
Publié: (2024)

Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy
par: Zhang, Yujie, et autres
Publié: (2024)

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
par: Liu, Yi, et autres
Publié: (2025)

I-INR: Iterative Implicit Neural Representations
par: Haider, Ali, et autres
Publié: (2025)

Implicit Neural Compression of Point Clouds
par: Ruan, Hongning, et autres
Publié: (2024)

Point Cloud Compression with Implicit Neural Representations: A Unified Framework
par: Ruan, Hongning, et autres
Publié: (2024)

WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images
par: Wu, Yunheng, et autres
Publié: (2026)

Towards Practical Lossless Neural Compression for LiDAR Point Clouds
par: Yu, Pengpeng, et autres
Publié: (2026)

COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
par: Thennakoon, Pandula, et autres
Publié: (2025)

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
par: Yang, Qi, et autres
Publié: (2025)

Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
par: Cai, Zhicheng
Publié: (2024)

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
par: You, Kang, et autres
Publié: (2024)

ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction
par: Huang, He, et autres
Publié: (2025)

SketchINR: A First Look into Sketches as Implicit Neural Representations
par: Bandyopadhyay, Hmrishav, et autres
Publié: (2024)

Point Cloud-Assisted Neural Image Compression
par: Li, Ziqun, et autres
Publié: (2024)

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation
par: Zhou, Wenyong, et autres
Publié: (2025)

Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression
par: Chen, Yueru, et autres
Publié: (2025)

Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment
par: Zhang, Yujie, et autres
Publié: (2024)

Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space
par: Zhang, Yichi, et autres
Publié: (2025)

Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation
par: Yang, Maizhe, et autres
Publié: (2025)

SL$^{2}$A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
par: Heidari, Moein, et autres
Publié: (2024)

DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
par: Fu, Chunyang, et autres
Publié: (2026)

PVContext: Hybrid Context Model for Point Cloud Compression
par: Zhang, Guoqing, et autres
Publié: (2024)

Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
par: Han, Woo Kyoung, et autres
Publié: (2025)

Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
par: Chen, Hanqiu, et autres
Publié: (2023)

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
par: Wei, Meiyi, et autres
Publié: (2024)

Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
par: Kuwabara, Akihiro, et autres
Publié: (2025)

Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model
par: Liu, Mufan, et autres
Publié: (2025)

Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors
par: Huang, Tianxin, et autres
Publié: (2025)

DPCD: A Quality Assessment Database for Dynamic Point Clouds
par: Liu, Yating, et autres
Publié: (2025)

INR-Bench: A Unified Benchmark for Implicit Neural Representations in Multi-Domain Regression and Reconstruction
par: Li, Linfei, et autres
Publié: (2025)

Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation
par: Chen, Hanqiu, et autres
Publié: (2024)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
par: Fang, Wei, et autres
Publié: (2024)

ARC: Anchored Representation Clouds for High-Resolution INR Classification
par: Luijmes, Joost, et autres
Publié: (2025)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
par: Ma, Wanhao, et autres
Publié: (2025)