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JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range., , , , , and . QoMEX, page 55-60. IEEE, (2023)Benchmarking of objective quality metrics for point cloud compression., , and . MMSP, page 1-6. IEEE, (2021)On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment., , and . QoMEX, page 1-6. IEEE, (2022)Latent Space Slicing for Enhanced Entropy Modeling In Learning-Based Point Cloud Geometry Compression., , and . ICASSP, page 4878-4882. IEEE, (2022)On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression., , , , , , and . ACM Multimedia, page 6715-6723. ACM, (2023)Evaluating the effect of sparse convolutions on point cloud compression., and . EUVIP, page 1-6. IEEE, (2023)Towards a Multiscale Point Cloud Structural Similarity Metric., and . MMSP, page 1-6. IEEE, (2023)Subjective and Objective Testing in Support of the JPEG Pleno Point Cloud Compression Activity., , , , , , and . EUVIP, page 1-6. IEEE, (2022)Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics., , and . EUVIP, page 1-6. IEEE, (2022)On Block Prediction For Learning-Based Point Cloud Compression., , and . ICIP, page 3378-3382. IEEE, (2021)