4 papers
SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces
Chuanxiang Yang, Junhui Hou, Yuan Liu +5
Implicit neural representations are powerful for geometric modeling, but their practical use is often limited by the high computational cost of network evaluations. We observe that…
Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity
Zhang Chen, Shuai Wan, Yuezhe Zhang +3
The unstructured and irregular nature of points poses a significant challenge for accurate point cloud quality assessment (PCQA), particularly in establishing accurate perceptual f…
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…
NeCGS: Neural Compression for 3D Geometry Sets
Siyu Ren, Junhui Hou, Weiyao Lin +1
We present NeCGS, the first neural compression paradigm, which can compress a geometry set encompassing thousands of detailed and diverse 3D mesh models by up to 900 times with hig…