{"total":40,"rows":[{"id":"2202.06533","title":"An Introduction to Neural Data Compression","created":"2022-02-14","cited_by_count":79,"area":null},{"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":"2312.03461","title":"HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting","created":"2023-12-06","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":"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":"2203.09931","title":"3DAC: Learning Attribute Compression for Point Clouds","created":"2022-03-17","cited_by_count":22,"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":"2111.08988","title":"LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks","created":"2021-11-17","cited_by_count":19,"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":"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":"2107.00400","title":"Lossless Coding of Point Cloud Geometry using a Deep Generative Model","created":"2021-07-01","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":"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":"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":"2503.18541","title":"UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach","created":"2025-03-24","cited_by_count":8,"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":"2204.13952","title":"Deep Geometry Post-Processing for Decompressed Point Clouds","created":"2022-04-29","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":"2202.13862","title":"Variable Rate Compression for Raw 3D Point Clouds","created":"2022-02-28","cited_by_count":4,"area":null},{"id":"2304.00335","title":"Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention","created":"2023-04-01","cited_by_count":4,"area":null},{"id":"2310.18849","title":"Deep Learning-based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification","created":"2023-10-28","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":"2403.08236","title":"Point Cloud Compression via Constrained Optimal Transport","created":"2024-03-13","cited_by_count":3,"area":null},{"id":"2406.10520","title":"Full reference point cloud quality assessment using support vector regression","created":"2024-06-15","cited_by_count":3,"area":null},{"id":"2204.11723","title":"4DAC: Learning Attribute Compression for Dynamic Point Clouds","created":"2022-04-25","cited_by_count":2,"area":null},{"id":"2311.13539","title":"Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression","created":"2023-11-22","cited_by_count":2,"area":null},{"id":"2404.07698","title":"Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator","created":"2024-04-11","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":"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":"2102.12839","title":"A deep perceptual metric for 3D point clouds","created":"2021-02-25","cited_by_count":0,"area":null},{"id":"2106.01504","title":"DeepCompress: Efficient Point Cloud Geometry Compression","created":"2021-06-02","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":"2602.00186","title":"SurfelSoup: Learned Point Cloud Geometry Compression With a Probablistic SurfelTree Representation","created":"2026-01-30","cited_by_count":0,"area":null}],"next_cursor":null}