231 citations · 298 across the 14 of their papers we have counts for
16 papers
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
Tam Thuc Do, Philip A. Chou, Gene Cheung
We study 3D point cloud attribute compression using a volumetric approach: given a target volumetric attribute function , we quantize and e…
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers
Berivan Isik, Onur G. Guleryuz, Danhang Tang +2
We propose sandwiched video compression -- a video compression system that wraps neural networks around a standard video codec. The sandwich framework consists of a neural pre- and…
Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
We propose novel two-channel filter banks for signals on graphs. Our designs can be applied to arbitrary graphs, given a positive semi definite variation operator, while using arbi…
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Berivan Isik, Philip A. Chou, Sung Jin Hwang +2
We consider the attributes of a point cloud as samples of a vector-valued volumetric function at discrete positions. To compress the attributes given the positions, we compress the…
3D Scene Compression through Entropy Penalized Neural Representation Functions
Thomas Bird, Johannes Ballé, Saurabh Singh +1
Some forms of novel visual media enable the viewer to explore a 3D scene from arbitrary viewpoints, by interpolating between a discrete set of original views. Compared to 2D imager…
Spectral folding and two-channel filter-banks on arbitrary graphs
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
In the past decade, several multi-resolution representation theories for graph signals have been proposed. Bipartite filter-banks stand out as the most natural extension of time do…
Nonlinear Transform Coding
Johannes Ballé, Philip A. Chou, David Minnen +5
We review a class of methods that can be collected under the name nonlinear transform coding (NTC), which over the past few years have become competitive with the best linear trans…
Deep Implicit Volume Compression
Danhang Tang, Saurabh Singh, Philip A. Chou +11
We describe a novel approach for compressing truncated signed distance fields (TSDF) stored in 3D voxel grids, and their corresponding textures. To compress the TSDF, our method re…
Region adaptive graph fourier transform for 3d point clouds
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
We introduce the Region Adaptive Graph Fourier Transform (RA-GFT) for compression of 3D point cloud attributes. The RA-GFT is a multiresolution transform, formed by combining spati…
A Volumetric Approach to Point Cloud Compression
Maja Krivokuća, Maxim Koroteev, Philip A. Chou
Compression of point clouds has so far been confined to coding the positions of a discrete set of points in space and the attributes of those discrete points. We introduce an alter…
Surface Light Field Compression using a Point Cloud Codec
Xiang Zhang, Philip A. Chou, Ming-Ting Sun +4
Light field (LF) representations aim to provide photo-realistic, free-viewpoint viewing experiences. However, the most popular LF representations are images from multiple views. Mu…
Comments on "Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform"
Gustavo Sandri, Ricado L. de Queiroz, Philip A. Chou
The recently introduced coder based on region-adaptive hierarchical transform (RAHT) for the compression of point clouds attributes, was shown to have a performance competitive wit…
Rate-Utility Optimized Streaming of Volumetric Media for Augmented Reality
Jounsup Park, Philip A. Chou, Jenq-Neng Hwang
Volumetric media, popularly known as holograms, need to be delivered to users using both on-demand and live streaming, for new augmented reality (AR) and virtual reality (VR) exper…
Dynamic Polygon Clouds: Representation and Compression for VR/AR
Philip A. Chou, Eduardo Pavez, Ricardo L. de Queiroz +1
We introduce the {\em polygon cloud}, also known as a polygon set or {\em soup}, as a compressible representation of 3D geometry (including its attributes, such as color texture) i…
Graph-based compression of dynamic 3D point cloud sequences
Dorina Thanou, Philip A. Chou, Pascal Frossard
This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud…
Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps
Pengfei Wan, Gene Cheung, Philip A. Chou +3
In texture-plus-depth representation of a 3D scene, depth maps from different camera viewpoints are typically lossily compressed via the classical transform coding / coefficient qu…