{"total":52,"rows":[{"id":"2111.10633","title":"Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression","created":"2021-11-20","cited_by_count":70,"area":null},{"id":"2202.06028","title":"OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression","created":"2022-02-12","cited_by_count":58,"area":null},{"id":"2204.12684","title":"Density-preserving Deep Point Cloud Compression","created":"2022-04-27","cited_by_count":39,"area":null},{"id":"2209.12028","title":"Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline","created":"2022-09-24","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":"2303.01681","title":"Dense Pixel-to-Pixel Harmonization via Continuous Image Representation","created":"2023-03-03","cited_by_count":19,"area":null},{"id":"2312.17241","title":"Compact Neural Graphics Primitives with Learned Hash Probing","created":"2023-12-28","cited_by_count":19,"area":null},{"id":"2205.01135","title":"D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction","created":"2022-05-02","cited_by_count":18,"area":null},{"id":"2209.04401","title":"GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression","created":"2022-09-09","cited_by_count":17,"area":null},{"id":"2110.09109","title":"Patch-Based Deep Autoencoder for Point Cloud Geometry Compression","created":"2021-10-18","cited_by_count":15,"area":null},{"id":"2402.02140","title":"Generative Visual Compression: A Review","created":"2024-02-03","cited_by_count":13,"area":null},{"id":"2509.17513","title":"4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming","created":"2025-09-22","cited_by_count":11,"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":"2409.08130","title":"The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine","created":"2024-09-12","cited_by_count":9,"area":null},{"id":"2402.07243","title":"PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression","created":"2024-02-11","cited_by_count":7,"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":"2405.11493","title":"Point Cloud Compression with Implicit Neural Representations: A Unified Framework","created":"2024-05-19","cited_by_count":6,"area":null},{"id":"2204.13952","title":"Deep Geometry Post-Processing for Decompressed Point Clouds","created":"2022-04-29","cited_by_count":5,"area":null},{"id":"2301.12165","title":"Dynamic Point Cloud Geometry Compression Using Multiscale Inter Conditional Coding","created":"2023-01-28","cited_by_count":5,"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":"2406.16633","title":"MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network","created":"2024-06-24","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":"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":"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":"2504.14240","title":"ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision","created":"2025-04-19","cited_by_count":4,"area":null},{"id":"2212.05589","title":"Learning Neural Volumetric Field for Point Cloud Geometry Compression","created":"2022-12-11","cited_by_count":3,"area":null},{"id":"2403.08236","title":"Point Cloud Compression via Constrained Optimal Transport","created":"2024-03-13","cited_by_count":3,"area":null},{"id":"2408.14601","title":"3D Point Cloud Network Pruning: When Some Weights Do not Matter","created":"2024-08-26","cited_by_count":3,"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":"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":"2408.00599","title":"Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control","created":"2024-08-01","cited_by_count":1,"area":null},{"id":"2410.00582","title":"Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection","created":"2024-10-01","cited_by_count":1,"area":null},{"id":"2410.18115","title":"Point Cloud Compression with Bits-back Coding","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2412.10433","title":"Implicit Neural Compression of Point Clouds","created":"2024-12-11","cited_by_count":1,"area":null},{"id":"2504.14471","title":"Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space","created":"2025-04-20","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":"2510.23009","title":"UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2603.25260","title":"Towards Practical Lossless Neural Compression for LiDAR Point Clouds","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2206.01297","title":"Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models","created":"2022-06-02","cited_by_count":0,"area":null},{"id":"2412.07302","title":"Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction","created":"2024-12-10","cited_by_count":0,"area":null},{"id":"2502.14099","title":"Point Cloud Geometry Scalable Coding Using a Resolution and Quality-conditioned Latents Probability Estimator","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2505.21895","title":"SineLoRA$\\Delta$: Sine-Activated Delta Compression","created":"2025-05-28","cited_by_count":0,"area":null},{"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":"2510.13408","title":"Semantic Communication Enabled Holographic Video Processing and Transmission","created":"2025-10-15","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":"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":"2605.18006","title":"Inter-LPCM: Learning-based Inter-Frame Predictive Coding for LiDAR Point Cloud Compression","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}