Aleksei Zhuravlev

10/2022 – 04/2025: MSc in Computer Science, University of Bonn, Germany. Grade : 1.3 / 1.0
09/2018 – 08/2022: BSc in Physics, Moscow State University, Russia.

I am a recent graduate from MSc Computer Science at the University of Bonn, Germany. My Master Thesis Denoising Functional Maps was accepted at CVPR 2025. I have practical experience with diffusion models, neural radiance fields and large language models. My research interests include:

Education

MSc in Computer Science Grade: 1.2 / 1.0	University of Bonn, Germany 10/2022 – 04/2025
BSc in Physics	Moscow State University, Russia 09/2018 – 08/2022

Publications

Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
CVPR 2025
project page | paper | code

The first work to apply DDPMs to the shape correspondence problem, parameterized by functional maps.
Master thesis project

Projects

	NeRF-based Hand Reconstruction semester project project page An implicit 3D reconstruction of a human hand from monocular and multi-view sequences, based on Interhand2.6m dataset.
	Knowledge Distillation for Depth Estimation semester project project page \| paper \| code A lightweight monocular depth estimation model for UAVs, based on knowledge distillation from the foundational model “Depth Anything”.
	Text Style Transfer using Transformer Models semester project project page \| paper \| poster An assessment of the ability of three NLP models to transfer text style with an emphasis on translation from informal to formal style.