1 citations · 3 across the 7 of their papers we have counts for
7 papers
GeoGuide: Geometric guidance of diffusion models
Mateusz Poleski, Jacek Tabor, Przemysław Spurek
Diffusion models are among the most effective methods for image generation. This is in particular because, unlike GANs, they can be easily conditioned during training to produce el…
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
Paweł Batorski, Dawid Malarz, Marcin Przewięźlikowski +3
Neural radiance fields (NeRFs) are a widely accepted standard for synthesizing new 3D object views from a small number of base images. However, NeRFs have limited generalization pr…
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy
Łukasz Struski, Tomasz Urbańczyk, Krzysztof Bucki +4
Video generation is important, especially in medicine, as much data is given in this form. However, video generation of high-resolution data is a very demanding task for generative…
Face Identity-Aware Disentanglement in StyleGAN
Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska +3
Conditional GANs are frequently used for manipulating the attributes of face images, such as expression, hairstyle, pose, or age. Even though the state-of-the-art models successful…
Gaussian model for closed curves
Krzysztof Byrski, Przemysław Spurek, Jacek Tabor
Gaussian Mixture Models (GMM) do not adapt well to curved and strongly nonlinear data. However, we can use Gaussians in the curvilinear coordinate systems to solve this problem. Mo…
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk, Rafał Michaluk, Łukasz Garncarek +3
Most of the existing methods for estimating the local intrinsic dimension of a data distribution do not scale well to high-dimensional data. Many of them rely on a non-parametric n…