8 papers
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
Wanhao Ma, Wei Zhang, Shuai Wan +1
Geometry-based point cloud compression (G-PCC), an international standard designed by MPEG, provides a generic framework for compressing diverse types of point clouds while ensurin…
RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation
Zhang Chen, Shuai Wan, Siyu Ren +3
One of the main challenges in point cloud compression (PCC) is how to evaluate the perceived distortion so that the codec can be optimized for perceptual quality. Current standard…
Rendering-Oriented 3D Point Cloud Attribute Compression using Sparse Tensor-based Transformer
Xiao Huo, Junhui Hou, Shuai Wan +1
The evolution of 3D visualization techniques has fundamentally transformed how we interact with digital content. At the forefront of this change is point cloud technology, offering…
ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications
Gaoxiong Yi, Wei Xiao, Yiming Xiao +10
With the advances in speech communication systems such as online conferencing applications, we can seamlessly work with people regardless of where they are. However, during online…
Light field Rectification based on relative pose estimation
Xiao Huo, Dongyang Jin, Saiping Zhang +1
Hand-held light field (LF) cameras have unique advantages in computer vision such as 3D scene reconstruction and depth estimation. However, the related applications are limited by…
DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video
Saiping Zhang, Luis Herranz, Marta Mrak +3
In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to…