• Max-Planck-Institut für Informatik
    Saarland Informatics Campus
    Campus E1 4
    66123 Saarbrücken
  • Room 624
  • jchibane@mpi-inf.mpg.de
   Follow @jchibane   

About Me

I am a second-year PhD student at the Real Virtual Humans group at the Max Planck Institute for Informatics and University of Tübingen, under supervision of Dr. Gerard Pons-Moll. I graduated with a Master of Science degree with distinction (1.0) in Computer Science with a focus on Intelligent Systems, from University of Würzburg, Germany.

Research Interests

My research interest lies at the intersection of machine learning, 3D computer vision, and computer graphics. I am interested in the capture and synthesis of our surrounding 3D (or 4D, when including time) world, including humans. My focus lies on representing, reconstructing, and generating 3D scenes and humans. Technically, I am fascinated by integrating geometry, theory, and graphics foundations into learning problems.

News

Publications

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane, Aymen Mir, Gerard Pons-Moll
Neural Unsigned Distance Fields for Implicit Function Learning
in Advances in Neural Information Processing Systems (NeurIPS), 2020.
Implicit Feature Networks for Texture Completion from Partial 3D Data
Julian Chibane, Gerard Pons-Moll
Implicit Feature Networks for Texture Completion from Partial 3D Data
in European Conference on Computer Vision (ECCV), Workshops, 2020.
1st Place Winner in all Categories of SHARP Challange
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.