Stars
Probe for hardware, check operability and find drivers
A project for 3D multi-object tracking
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
CP and Tucker decomposition for Convolutional Neural Networks
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
[CVPR 2021 Oral] Variational Relational Point Completion Network
Geometry based point cloud compression (G-PCC) test model
Image Compression with Recurrent Neural Network and Generalized Divisive Normalization at CVPR 2021
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Models and examples built with TensorFlow
A Tensorflow implementation of the paper "Full Resolution Image Compression with Recurrent Neural Networks" (Residual RNN)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
[ROS][C++] Convert a pointcloud to rangeimage and back to pointcloud
Merge the depth images from two depth cameras (RGBD, TOF, structured light...) into one depth image as it would be seen from an "arbitrarily" positioned virtual depth camera
Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks