Search Results for author: Piotr Borycki

Found 3 papers, 3 papers with code

GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting

1 code implementation2 Feb 2024 Joanna Waczyńska, Piotr Borycki, Sławomir Tadeja, Jacek Tabor, Przemysław Spurek

In comparison, Gaussian Splatting (GS) is a novel, state-of-the-art technique for rendering points in a 3D scene by approximating their contribution to image pixels through Gaussian distributions, warranting fast training and swift, real-time rendering.

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering

1 code implementation10 Mar 2023 Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Maciej Zięba, Przemysław Spurek

In contrast to traditional NeRF-based structures that use neural networks for RGB color and volume density modeling, our approach utilizes the FLAME mesh as a distinct density volume.

Hypernetwork approach to Bayesian MAML

1 code implementation6 Oct 2022 Piotr Borycki, Piotr Kubacki, Marcin Przewięźlikowski, Tomasz Kuśmierczyk, Jacek Tabor, Przemysław Spurek

Unfortunately, previous modifications of MAML are limited due to the simplicity of Gaussian posteriors, MAML-like gradient-based weight updates, or by the same structure enforced for universal and adapted weights.

Few-Shot Learning

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