Name: Manuel Dahnert
Position: Ph.D Candidate
Phone: +49-89-289-19486
Room No: 02.13.039


Hi there, I am Manuel, a PhD student at the Visual Computing Lab with the focus on 3D model retrieval using the power of deep learning. I did my Master's Thesis also here group about the topic Transfer Learning between Synthetic and Real Data. This thesis concludes the Informatics: Games Engineering program (M.Sc) with the specializations of Computer Graphics and Animation and Hardware-aware Programming. In 2015, I received my Bachelor's degree (B.Sc) Informatics: Games Engineering from the Technical University of Munich (TUM). From August 2016 until June 2017, I took part in the Erasmus mobility program, in which I was studying at Chalmers University of Technology, Sweden.

Research Interest

3D Deep Learning, Shape Matching, Generative Modeling, Domain Adapation



Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Angel X. Chang, Manolis Savva, Matthias Nießner
CVPR 2019 (Oral)
We present Scan2CAD, a novel data-driven method that learns to align clean 3D CAD models from a shape database to the noisy and incomplete geometry of a commodity RGB-D scan.
[video][code][bibtex][project page]