Kacper Kania

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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

BlendFields: Few-Shot Example-Driven Facial Modeling

We generate realistic 3D avatars from just as few as five multi-view frames. Compared to the previous approaches, which may use up to 1 million images, our approach is data-efficient and easy to train. We show through the experiments, that BlendFields achieves the best results for different faces.

Jun 8, 2023

CoNeRF: Controllable Neural Radiance Fields

We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i.e. camera control). We demonstrate, to the best of our knowledge, for the first time novel view and novel attribute re-rendering of scenes from a single video.

Dec 6, 2021

Publications

Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzciński, Marek Kowalski (2023). BlendFields: Few-Shot Example-Driven Facial Modeling. In CVPR 2023.

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Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Tagliasacchi (2021). CoNeRF: Controllable Neural Radiance Fields. In CVPR 2022.

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Kacper Kania, Marek Kowalski, Tomasz Trzciński (2021). TrajeVAE: Controllable Human Motion Generation from Trajectories. In arXiv.

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Michał Stypułkowski, Kacper Kania, Maciej Zamorski, Maciej Zięba, Tomasz Trzciński, Jan Chorowski (2021). Representing Point Clouds with Generative Conditional Invertible Flow Networks. In Pattern Recongition Letters.

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Przemysław Spurek, Sebastian Winczowski, Maciej Zięba, Tomasz Trzciński, Kacper Kania (2021). Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. In arXiv.

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Honours