IEEE

Efficient Confidence-Based Hierarchical Stereo Disparity Upsampling for Noisy Inputs

Abstract: Disparity upsampling techniques aim to restore high-resolution disparity maps from low-resolution disparity inputs. These inputs must be of high quality and are often obtained via ...
IEEE

PU-Mask: 3D Point Cloud Upsampling via an Implicit Virtual Mask

Abstract: We present PU-Mask, a virtual mask-based network for 3D point cloud upsampling. Unlike existing upsampling methods, which treat point cloud upsampling as an “unconstrained generative” ...
GitHub

PU-GAN: a Point Cloud Upsampling Adversarial Network

A Dockerfile is provided to help you relief the pain of configurate training environment. See the instructions in here. This repository is based on Tensorflow and the TF operators from PointNet++.
GitHub

PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation

Official implementation of PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation, accepted at ICCV 2025 e2e3D Workshop. The script can handle point clouds of any size, limited only by ...