Kacper Kania

Kacper Kania

PhD Student

Warsaw University of Technology

About Me

I am a 3nd year PhD Student at Warsaw University of Technology. The PhD programme is financed by Microsoft Research Cambridge.

My research revolves around 3D human animation and reconstruction in partial information and low-shot regime. My interests include computer graphics and application of machine learning methods in common 3D algorithms.


  • Computer Graphics
  • Computer Vision
  • Machine Learning


  • PhD (ongoing) "Low Shot Realistic Human Rendering from Partial Information"

    Warsaw University of Technology

  • PhD (moved to Warsaw University of Technology) "3D Shape Reconstruction of Objects in the Scene", 2020

    Wrocław University of Science and Technology

  • MSc in Computer Science with Data Science specialization, 2019

    Wrocław University of Science and Technology

  • BSc in Computer Science, 2018

    Wrocław University of Science and Technology



Working on realistic 3D human avatars. I extended VolTeMorph to incorporate more realistic facial details that from performing different expressions. Our results have been published at CVPR 2023 conference. You can read more about it here.

I have developed a method that enables controlling neural radiance fields from sparse, manual annotations. Both annotations are coarse segmentation masks of the areas you want to control, and leave the neural network to learn how to propagate that information across 3D. The work was published at CVPR 2022. You can read more about that here.


Reviewer at ICCV 2023

Outstanding Reviewer at CVPR 2023

See certificate

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