Graph signal processing: Overview, challenges, and applications
Research in graph signal processing (GSP) aims to develop tools for processing data
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …
Foldingnet: Point cloud auto-encoder via deep grid deformation
Recent deep networks that directly handle points in a point set, eg, PointNet, have been
state-of-the-art for supervised learning tasks on point clouds such as classification and …
state-of-the-art for supervised learning tasks on point clouds such as classification and …
Emerging MPEG standards for point cloud compression
Due to the increased popularity of augmented and virtual reality experiences, the interest in
capturing the real world in multiple dimensions and in presenting it to users in an immersible …
capturing the real world in multiple dimensions and in presenting it to users in an immersible …
Mining point cloud local structures by kernel correlation and graph pooling
Unlike on images, semantic learning on 3D point clouds using a deep network is
challenging due to the naturally unordered data structure. Among existing works, PointNet …
challenging due to the naturally unordered data structure. Among existing works, PointNet …
Lossy point cloud geometry compression via end-to-end learning
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (aka,
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …
Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based …
Design, implementation, and evaluation of a point cloud codec for tele-immersive video
We present a generic and real-time time-varying point cloud codec for 3D immersive video.
This codec is suitable for mixed reality applications in which 3D point clouds are acquired at …
This codec is suitable for mixed reality applications in which 3D point clouds are acquired at …
Reduced reference perceptual quality model with application to rate control for video-based point cloud compression
In rate-distortion optimization, the encoder settings are determined by maximizing a
reconstruction quality measure subject to a constraint on the bitrate. One of the main …
reconstruction quality measure subject to a constraint on the bitrate. One of the main …
Hifi4g: High-fidelity human performance rendering via compact gaussian splatting
We have recently seen tremendous progress in photo-real human modeling and rendering.
Yet efficiently rendering realistic human performance and integrating it into the rasterization …
Yet efficiently rendering realistic human performance and integrating it into the rasterization …
The emerging field of graph signal processing for moving object segmentation
Abstract Moving Object Segmentation (MOS) is an important topic in computer vision. MOS
becomes a challenging problem in the presence of dynamic background and moving …
becomes a challenging problem in the presence of dynamic background and moving …
PCQM: A full-reference quality metric for colored 3D point clouds
3D point clouds constitute an emerging multimedia content, now used in a wide range of
applications. The main drawback of this representation is the size of the data since typical …
applications. The main drawback of this representation is the size of the data since typical …