6 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…
OmniStyle-INR: Universal and Multimodal Style Transfer for INRs
RafaÅ Kajca, MichaÅ MizioÅek, Kornel Howil +2
Style transfer remains a fundamental and highly important task across various data modalities, enabling creative manipulation conditioned by both reference images and textual descr…
MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
RafaÅ Tobiasz, Grzegorz WilczyÅski, Marcin Mazur +3
Gaussian Splatting (GS) is a recent and pivotal technique in 3D computer graphics. GS-based algorithms almost always bypass classical methods such as ray tracing, which offer numer…
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…
QuantumGS: Quantum Encoding Framework for Gaussian Splatting
Grzegorz WilczyÅski, RafaÅ Tobiasz, PaweÅ Gora +2
Recent advances in neural rendering, particularly 3D Gaussian Splatting (3DGS), have enabled real-time rendering of complex scenes. However, standard 3DGS relies on spherical harmo…
HuSc3D: Human Sculpture dataset for 3D object reconstruction
Weronika Smolak-Dyżewska, Dawid Malarz, Grzegorz WilczyÅski +4
3D scene reconstruction from 2D images is one of the most important tasks in computer graphics. Unfortunately, existing datasets and benchmarks concentrate on idealized synthetic o…