3 papers
eess.IV2025
Neural Compression of 360-Degree Equirectangular Videos using Quality Parameter Adaptation
Daichi Arai, Yuichi Kondo, Kyohei Unno +2
This study proposes a practical approach for compressing 360-degree equirectangular videos using pretrained neural video compression (NVC) models. Without requiring additional trai…
cs.CV2025
NeRV360: Neural Representation for 360-Degree Videos with a Viewport Decoder
Daichi Arai, Kyohei Unno, Yasuko Sugito +1
Implicit neural representations for videos (NeRV) have shown strong potential for video compression. However, applying NeRV to high-resolution 360-degree videos causes high memory…
cs.CV2023
SCP: Spherical-Coordinate-based Learned Point Cloud Compression
Ao Luo, Linxin Song, Keisuke Nonaka +4
In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR…