3 papers
cs.CV2026
Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders
Jakub Szymkowiak, Wojtek Pałubicki, Kamil Adamczewski
Understanding how learned representations respond to finite input changes is important for characterizing their sensitivity, invariances, and robustness. Yet existing geometric ana…
cs.CV2024
Neural Surface Priors for Editable Gaussian Splatting
Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz +5
In computer graphics and vision, recovering easily modifiable scene appearance from image data is crucial for applications such as content creation. We introduce a novel method tha…
cs.NE2024
HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations
Danzel Serrano, Jakub Szymkowiak, Przemyslaw Musialski
Recently proposed methods for implicitly representing signals such as images, scenes, or geometries using coordinate-based neural network architectures often do not leverage the ch…