Results 61 to 70 of about 35,200,958 (80)
Scalable Graph-Guided Transformer for Point Cloud Geometry Coding
Attention models, particularly Transformers, have significantly advanced deep learning in fields like natural language processing and computer vision by capturing contextual relationships in both sequential and spatial data.
Guarda, André F. R. +3 more
core +1 more source
Learning-Based Fast Coding Unit Prediction for Video-Based Point Cloud Compression
International audiencePoint cloud compression is essential for immersive media. V-PCC achieves efficient compression based on HEVC, yet its encoding process is computationally intensive.
Wang, Dayong +4 more
core +2 more sources
Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
The Geometry-based Point Cloud Compression (G-PCC) has been developed by the Moving Picture Experts Group to compress point clouds. In its lossy mode, the reconstructed point cloud by G-PCC often suffers from noticeable distortions due to the na\"{i}ve ...
Ma, Kede +3 more
core
LIFT-PCAC: LIFTING BASED POINT CLOUD ATTRIBUTE COMPRESSION
International audiencePoint cloud (PC) compression is crucial for efficient transmission and storage in applications like virtual and augmented reality, where point counts can reach millions. While learning-based methods have shown promise in compressing
Marvie, Jean-Eudes +3 more
core +1 more source
This paper presents a novel method to determine rate-distortion optimized transform coefficients for efficient compression of videos generated from point clouds.
Christian Herglotz +2 more
exaly +2 more sources
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Video-Based Point Cloud Compression Artifact Removal
IEEE Transactions on Multimedia, 2022Zhu Li
exaly
Quantitative Comparison of Point Cloud Compression Algorithms With PCC Arena
IEEE Transactions on Multimedia, 2023Wei Tsang Ooi +2 more
exaly
Rate Control for Video-Based Point Cloud Compression
IEEE Transactions on Image Processing, 2020Zhu Li, Houqiang Li
exaly

