The goal of this project is to extend the project from Smith et al. by fixing some critical errors and bottlenecks, and introducing multithreading for the processing of multiple SfP scenes.

Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.

A Javascript library for the demonstration of Euclidean shape reconstruction via Rips Complexes

This repository contains the deployment of several modules used for the project ErgoCub

Repository for the homework of Image Analysis and Computer Vision course of Politecnico di Milano 2017/2018.

A statistical framework for feature selection and association mapping with 3D shapes

An implementation of implicit representation, Signed Distance Function (SDF) representation

Software package for asteroid shape reconstruction from disk-resolved observations

Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes

Rendering color and depth images for ShapeNet models.

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

3D Shape Representation with Local Deep Implicit Functions.