Kacper Kania 👀️
Kacper Kania

PhD Student

About Me

I am a 4th 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.

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Interests
  • Computer Graphics
  • Computer Vision
  • Machine Learning
Education
  • PhD in Artificial Intelligence

    Warsaw University of Technology

  • PhD in Artificial Intelligence (Discontinued)

    Wrocław University of Science and Technology

  • MSc in Data Science

    Wrocław University of Science and Technology

  • BSc Artificial Intelligence

    Wrocław University of Science and Technology

Featured Publications
Publications
(2025). LumiGauss: Relightable Gaussian Splatting in the Wild. In WACV 2025.
(2023). BlendFields: Few-Shot Example-Driven Facial Modeling. In CVPR 2023.
(2021). CoNeRF: Controllable Neural Radiance Fields. In CVPR 2022.
(2021). TrajeVAE: Controllable Human Motion Generation from Trajectories. In arXiv.
(2021). Representing Point Clouds with Generative Conditional Invertible Flow Networks. In Pattern Recongition Letters.

Experience

  1. Research Scientist Intern

    Reality Labs at Meta
    Developed an algorithm for Continuous Levels of Detail for the Gaussian Splatting represention. We submitted our work to the CVPR 2025 conference, and it’s currently under a review.
  2. Research Scientist Intern

    Microsoft Research Cambridge
    Designed an approach to modeling facial wrinkles from a few, multi-view static frames of person. Our work was accepted to CVPR 2023.
    Read about our work here
  3. Visiting Internation Research Student

    University of British Columbia
    An exciting collaboration with Kwang Moo Yi and Andrea Tagliasacchi which lasts to this day. We managed to extend learnable radiance fields with controllability capabilities for a post-hoc artistic editions. Our work was accepted to CVPR 2022.
    Read about our work here

Education

  1. PhD in Artificial Intelligence

    Warsaw University of Technology
    Working on “Few-Shot Neural Human Rendering from Sparse Information”, supervised by Tomasz Trzcinski, Marek Kowalski in collaboration with Andrea Tagliasacchi and Kwang Moo Yi.
  2. PhD in Artificial Intelligence (Discontinued)

    Wrocław University of Science and Technology
    Working on 3D reconstruction from single-view or point clouds. During that time, I published our paper: “UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree” at NeurIPS 2020.
    Read about our work here
  3. MSc in Data Science

    Wrocław University of Science and Technology
    Thesis on alternative synaptic signal aggregation (other than typical product-sum).
  4. BSc Artificial Intelligence

    Wrocław University of Science and Technology
    Thesis on American Sign Language (ASL) recognition from a webcam. Developed an algorithm that was published later at ICAISC 2018.
    Read about our work here
Honours
Teaching