{"total":58,"rows":[{"id":"2312.03774","title":"OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries","created":"2023-12-06","cited_by_count":48,"area":null},{"id":"2303.06519","title":"Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model","created":"2023-03-11","cited_by_count":25,"area":null},{"id":"2207.12554","title":"Inter-Frame Compression for Dynamic Point Cloud Geometry Coding","created":"2022-07-25","cited_by_count":21,"area":null},{"id":"2209.08263","title":"Scalable SoftGroup for 3D Instance Segmentation on Point Clouds","created":"2022-09-17","cited_by_count":15,"area":null},{"id":"2308.12535","title":"SCP: Spherical-Coordinate-based Learned Point Cloud Compression","created":"2023-08-24","cited_by_count":12,"area":null},{"id":"2409.10293","title":"SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds","created":"2024-09-16","cited_by_count":11,"area":null},{"id":"2205.00760","title":"Point Cloud Compression with Sibling Context and Surface Priors","created":"2022-05-02","cited_by_count":10,"area":null},{"id":"2209.12512","title":"Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression","created":"2022-09-26","cited_by_count":9,"area":null},{"id":"2305.01309","title":"Geometric Prior Based Deep Human Point Cloud Geometry Compression","created":"2023-05-02","cited_by_count":9,"area":null},{"id":"2208.02519","title":"IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression","created":"2022-08-04","cited_by_count":8,"area":null},{"id":"2211.10916","title":"ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression","created":"2022-11-20","cited_by_count":8,"area":null},{"id":"2208.12573","title":"Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention","created":"2022-08-26","cited_by_count":6,"area":null},{"id":"2305.05356","title":"Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching","created":"2023-05-09","cited_by_count":5,"area":null},{"id":"2402.11250","title":"Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression","created":"2024-02-17","cited_by_count":5,"area":null},{"id":"2404.13550","title":"Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes","created":"2024-04-21","cited_by_count":5,"area":null},{"id":"2407.08520","title":"Enhancing context models for point cloud geometry compression with context feature residuals and multi-loss","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2406.00791","title":"Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor","created":"2024-06-02","cited_by_count":4,"area":null},{"id":"2407.08528","title":"Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2408.02966","title":"Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement","created":"2024-08-06","cited_by_count":4,"area":null},{"id":"2411.07899","title":"Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2503.18283","title":"Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context","created":"2025-03-24","cited_by_count":4,"area":null},{"id":"2308.05959","title":"Learned Point Cloud Compression for Classification","created":"2023-08-11","cited_by_count":3,"area":null},{"id":"2410.09872","title":"Towards Reproducible Learning-based Compression","created":"2024-10-13","cited_by_count":3,"area":null},{"id":"2505.17442","title":"Reflectance Prediction-based Knowledge Distillation for Robust 3D Object Detection in Compressed Point Clouds","created":"2025-05-23","cited_by_count":3,"area":"distill"},{"id":"2204.11723","title":"4DAC: Learning Attribute Compression for Dynamic Point Clouds","created":"2022-04-25","cited_by_count":2,"area":null},{"id":"2404.06936","title":"Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression","created":"2024-04-10","cited_by_count":2,"area":null},{"id":"2405.01750","title":"PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2406.05915","title":"Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering","created":"2024-06-09","cited_by_count":2,"area":null},{"id":"2408.10543","title":"Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds","created":"2024-08-20","cited_by_count":2,"area":"diffusion"},{"id":"2508.20466","title":"Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2402.12532","title":"Scalable Human-Machine Point Cloud Compression","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2411.13860","title":"DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds","created":"2024-11-21","cited_by_count":1,"area":"diffusion"},{"id":"2504.00481","title":"Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2504.17229","title":"Range Image-Based Implicit Neural Compression for LiDAR Point Clouds","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2505.09433","title":"Efficient LiDAR Reflectance Compression via Scanning Serialization","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2506.22902","title":"Point Cloud Compression and Objective Quality Assessment: A Survey","created":"2025-06-28","cited_by_count":1,"area":null},{"id":"2508.07083","title":"TeSO: Representing and Compressing 3D Point Cloud Scenes with Textured Surfel Octree","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2510.08512","title":"Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2510.23009","title":"UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2512.00850","title":"Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting","created":"2025-11-30","cited_by_count":1,"area":null},{"id":"2601.12261","title":"DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2602.08613","title":"Overview and Comparison of AVS Point Cloud Compression Standard","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.25260","title":"Towards Practical Lossless Neural Compression for LiDAR Point Clouds","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2311.00970","title":"Lightweight super resolution network for point cloud geometry compression","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2409.12724","title":"PVContext: Hybrid Context Model for Point Cloud Compression","created":"2024-09-19","cited_by_count":0,"area":null},{"id":"2505.13316","title":"Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates","created":"2025-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2508.01633","title":"Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression","created":"2025-08-03","cited_by_count":0,"area":null},{"id":"2509.14591","title":"Bidirectional Feature-aligned Motion Transformation for Efficient Dynamic Point Cloud Compression","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2510.17068","title":"ProDAT: Progressive Density-Aware Tail-Drop for Point Cloud Coding","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2511.00652","title":"Been There, Scanned That: Nostalgia-Driven LiDAR Compression for Self-Driving Cars","created":"2025-11-01","cited_by_count":0,"area":"driving"},{"id":"2511.20065","title":"FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2512.22463","title":"MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression","created":"2025-12-27","cited_by_count":0,"area":"ssm"},{"id":"2602.00186","title":"SurfelSoup: Learned Point Cloud Geometry Compression With a Probablistic SurfelTree Representation","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2603.28095","title":"Octree-based Learned Point Cloud Geometry Compression: A Lossy Perspective","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2605.01320","title":"PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2605.18006","title":"Inter-LPCM: Learning-based Inter-Frame Predictive Coding for LiDAR Point Cloud Compression","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.00687","title":"Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2610.04281","title":"OctMesh: A Unified Octree-Hierarchical Framework for Lossless Triangle Mesh Compression","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}