Viktor Rudnev

Ph.D. Student at Max Planck Institute for Informatics


I am a Ph.D. student under the supervision of Dr. Vladislav Golyanik and Prof. Dr. Christian Theobalt in the 4DQV group at the Max Planck Institute for Informatics and Saarland University, Saarbrücken, Germany.

My research interests lie primarily at the intersection of Computer Graphics and Computer Vision with applications in VR/AR, Visual Effects and Animation.

I study neural representations of 3D/4D scenes, with focuses

  • on combining implicit and explicit elements together to achieve direct controllability of the models (Neural Actor, NeRF-OSR) or improved performance (EventHands, EventNeRF),
  • on using alternative sensors, such as event cameras, to bridge the gap and push the boundaries of both traditional and event-based vision research (EventHands, EventNeRF), and
  • on using exclusively self-collected and synthetic data, to minimize the amount of required externally collected data and compute resources (Neural Actor, NeRF-OSR, EventHands, EventNeRF).


3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera
C. Millerdurai, D. Luvizon, V. Rudnev, A. Jonas, J. Wang, C. Theobalt and V. Golyanik
International Conference on 3D Vision (3DV), 2024
paper project page source code
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera
V. Rudnev, M. Elgharib, C. Theobalt and V. Golyanik
Computer Vision and Pattern Recognition (CVPR), 2023
paper project page source code bibtex
Neural Radiance Fields for Outdoor Scene Relighting
V. Rudnev, M. Elgharib, W. Smith, L. Liu, V. Golyanik and C. Theobalt
European Conference on Computer Vision (ECCV), 2022
paper project page source code bibtex
Neural Actor
Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control
L. Liu, M. Habermann, V. Rudnev, K. Sarkar, J. Gu, C. Theobalt
SIGGRAPH Asia 2021
paper project page source code bibtex
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
V. Rudnev, V. Golyanik, J. Wang, H.-P. Seidel, F. Mueller, M. Elgharib and C. Theobalt
International Conference on Computer Vision (ICCV), 2021
Featured in "ICCV 2021 Daily" (link)
paper project page source code bibtex


October 2019 – November 2021:
Doctoral Preparatory Phase/Master Studies in Computer Science at Saarland University, Saarbrücken, Germany
September 2013 – July 2015:
High School student at Kolmogorov’s boarding school of Moscow State University
September 2011 – July 2013:
Student at Intellectual boarding school in Moscow

Recent Positions

May 2020 – August 2020:
Research Immersion Lab at Graphics, Vision & Video (group leader: Prof. Dr. Christian Theobalt) at the Max-Planck-Institut für Informatik, Germany
September 2017 – July 2019:
Research Intern at the Bayesian Methods Research Group (group leader: Prof. Dr. Dmitry Vetrov), Samsung-HSE Laboratory, Moscow-Seoul

Competition Awards

November 2017
M*CTF 2017, Moscow
1st place (participated in team Shadow Servants)
April 2017
RuCTF 2017, Yekaterinburg
2nd place (participated in team Shadow Servants)
November 2016
M*CTF 2016, Moscow
1st place (participated in team Shadow Servants)
April 2016
UFOCTF 2016, Rostov-na-Donu
1st place
November 2015
QCTF Starter 2015, Moscow
1st place (participated in team Shaggy Bumps)
April 2015
All-Russian Olympiad in Informatics, Arhangelsk
Silver medal (ranked 43 out of 500000)
March 2015
Moscow State Olympiad in Informatics, Moscow
1st degree certificate of the winner (ranked 16 out of 262)
April 2014
All-Russian Olympiad in Informatics, Yekaterinburg
Member of the Moscow Team
March 2014
Moscow State Olympiad in Informatics, Moscow
1st degree certificate of the winner (ranked 21 out of 304)
November 2013
All-Russian Team Olympiad in Informatics for High School Students held by IBM&ACM and ITMO, St.Petersburg
2nd degree certificate of the winner (ranked 23 out of 172)


  • Playing music (guitars, bass, keys, drums, cello, violin, glockenspiel, accordion, wind), arranging/recording/mixing
  • Digital drawing/painting/animation, photography, storytelling
  • DIY: soldering, woodworking, 3D printing, sewing, etc.
  • Computer security/hacking/CTF
  • Making VR apps/games
  • Longboarding, bicycling, table tennis
  • Fancy coffee, baking, cooking