109 citations · 636 across the 74 of their papers we have counts for
6 papers · 2 filters
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…
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk +3
Prototypical parts-based networks are becoming increasingly popular due to their faithful self-explanations. However, their similarity maps are calculated in the penultimate networ…
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation
Dominik Zimny, Artur Kasymov, Adam Kania +4
NeRF is a popular model that efficiently represents 3D objects from 2D images. However, vanilla NeRF has some important limitations. NeRF must be trained on each object separately.…
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…
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering
Wojciech Zając, Joanna Waczyńska, Piotr Borycki +3
Traditional 3D face models are based on mesh representations with texture. One of the most important models is FLAME (Faces Learned with an Articulated Model and Expressions), whic…
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski +2
We introduce ProtoSeg, a novel model for interpretable semantic image segmentation, which constructs its predictions using similar patches from the training set. To achieve accurac…