If you are a student we offer bachelor and master theses supervision, as well as internships. Join us to gain valuable experience working on cutting-edge research projects. Just contat us via email, we'd love to hear from you.

Supervision

We provide academic supervision for bachelor's and master's thesis projects. Work closely with our experienced researchers on topics related to computer vision, 3D geometry processing, machine learning, and AI. Our supervision includes guidance on research methodology, technical implementation, and academic writing.

Internships

We offer internship opportunities for students who want to gain hands-on experience in research and development. Interns work on real projects, collaborate with our team, and contribute to cutting-edge research. Internships can be part-time or full-time, and we accommodate both short-term and long-term commitments.

Archive of Student Projects

Student Opportunities

Supervision

Internships

Archive of Student Projects

Digital Twins 2025 Project - GPU cooling system

Structured Point Clouds for Machine Learning Processing of Human Body Data

Digital Twin of a Sailboat

Markerless Registration of Multiple 3D Cameras

Comparing Synthetic and Real Data for Anthropometric Measurements Estimation

Synthetic Dataset Rendering with Parametric Transparent and Translucent Objects

Synthetic Dataset Generator

Reconstruction of Transparent Objects from Gaussian Radiance Fields

Data-driven Localization for Robotics

Generation of Synthetic 2D Images of Teeth

Noise Evaluation in Data Captured by 3D Cameras

Super Sampling of 3D Scans using Deep Learning

Fast and Robust Segmentation of Organized Point Cloud Sequence

Processing and Segmentation of Human Teeth from 2D Images using Deep Learning Techniques

Deep Learning-Based Human Body Segmentation on 3D Body Scans

Web Application for 3D data Conversion, Processing and Visualization

Capturing of dynamic objects from real-time 3D cameras and their visualization in virtual worlds

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization

Approach comparison in intelligent photography aesthetics prediction systems based on monocular depth estimation

Processing of 3D Scans using Machine Learning

Parallel Filtering of Structured Point Clouds using Guided Filter in CUDA

Parallel processing of 3D scans using CUDA

Visualization and Utilization of a Volumetric Representation for 3D Scan Processing

Processing of Unstructured Point Clouds using Neural Networks

3D Mesh Animation Compression using Skinning and Multi-Chart Displacement Texture

Simulation of scanning and reconstruction of 3D objects in virtual environment

Deep Learning-based Human Pose Estimation from 3D Data

Inspection and evaluation of 3D model reconstruction from 3D scans

Parallelization of organized point cloud segmentation on GPU using CUDA

Parallelization of skeleton extraction from 3D models and point clouds

Applications of Subsurface Scattering Techniques for Dynamic Rendering of 3D Range Scans of Translucent Objects

Segmentation and Rendering of Multi-material 3D Scans

Inspection and Editing of 3D Reconstructions in VR

Procedural Generation of Displacement Maps

Capturing of Movement During Music Performance

Virtual Reality Rendering of Music Performance

Extraction of Vector Displacement Maps between Mesh and Base Mesh

Applications for Skeleton Displacement Mapping

Seamless Texture Space Diffusion using Skeleton Texture Mapping

Example-based Extraction of Skinning Weights

Skinning Animation with Multi-Approach Interfaces

OpenGL Texture and C++ Variable Visualizer

Base Manifold Meshes from Skeletons

Semi-automatic Mapping of Skeletons

Parallelization of Shape Diameter Function Computation using OpenCL

Real-time Rendering of Parametric Skin Model

Texture Space Mesh Deformations and Morphing