The main theme of my work is to capture and to (re-)synthesize the real world using commodity hardware. It includes the modeling of the human body, tracking, as well as the reconstruction and interaction with the environment. The digitization is needed for various applications in AR/VR as well as in movie (post-)production. Teleconferencing and working in VR is of high interest for many companies ranging from social media platforms to car manufacturer. It enables the remote interaction in VR, e.g., the inspection of 3D content like CAD models or scans from real objects. A realistic reproduction of appearances and motions is key for such applications. Capturing natural motions and expressions as well as the photorealistic reproduction of images under novel views are challenging. With the rise of deep learning methods and, especially, neural rendering, we see immense progress to succeed in these challenges. The goal of my work is to develop methods for AI-based image synthesis of humans, the underlying representation of appearance, geometry and motion to allow for explicit and implicit control over the synthesis process. My work on 3D reconstruction, tracking and rendering does not focus exclusively on humans but also on the environment and objects we interact with, thus, enabling applications like 3d telepresence or collaborative working in VR. In both areas, reconstruction and rendering, hybrid approaches that combine novel findings in machine learning with classical computer graphics and computer vision approaches show promising results. Nevertheless, these methods still suffer from limitations like generalizability, controllability and editability which I will tackle in my ongoing and future work.

We have several open positions for Postdocs and PhD students. My group offers an international and diverse working environment. If you are interested and highly motivated to work with us in the above mentioned research fields, please write me an email (justus.thies@tu-darmstadt.de) including the relevant application documents (CV, recommendation letters, transcript of records, etc.) and a short description of your research interests / plans (research statement).

Be honest about your qualifications in your CV! For example, don't state that you are proficient in coding C++ if you are not (e.g. if you don't know how to allocate memory or write a class). We will ask questions about your listed qualifications during the interview.