7 papers
Floating Radiance Networks
Krzysztof Byrski, Rafał Tobiasz, Grzegorz Wilczyński +5
Recent advances in neural scene representations enable photorealistic novel-view synthesis, yet most methods remain tightly coupled to a single rendering paradigm, limiting their v…
GaINeR: Geometry-Aware Implicit Network Representation
Weronika Jakubowska, MikoÅaj ZieliÅski, RafaÅ Tobiasz +4
Implicit Neural Representations (INRs) are widely used for modeling continuous 2D images, enabling high-fidelity reconstruction, super-resolution, and compression. Architectures su…
IRIS: Intersection-aware Ray-based Implicit Editable Scenes
Grzegorz WilczyÅski, MikoÅaj ZieliÅski, Krzysztof Byrski +3
Neural Radiance Fields achieve high-fidelity scene representation but suffer from costly training and rendering, while 3D Gaussian splatting offers real-time performance with stron…
Affine-Equivariant Kernel Space Encoding for NeRF Editing
MikoÅaj ZieliÅski, Krzysztof Byrski, Tomasz Szczepanik +2
Neural scene representations achieve high-fidelity rendering by encoding 3D scenes as continuous functions, but their latent spaces are typically implicit and globally entangled, m…
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
Krzysztof Byrski, Jacek Tabor, PrzemysÅaw Spurek +1
In practical applications of regression analysis, it is not uncommon to encounter a multitude of values for each attribute. In such a situation, the univariate distribution, which…
REdiSplats: Ray Tracing for Editable Gaussian Splatting
Krzysztof Byrski, Grzegorz WilczyÅski, Weronika Smolak-Dyżewska +4
Gaussian Splatting (GS) has become one of the most important neural rendering algorithms. GS represents 3D scenes using Gaussian components with trainable color and opacity. This r…