3 papers
cs.CV2026
Learning Representations from 3D Gaussian Splats
Julia Farganus, Krzysztof Żurawicki, Arkadiusz GaweŠ+2
3D Gaussian Splatting (3DGS) is a recent approach for scene rendering. Although primarily designed for view synthesis, its potential for scene understanding tasks remains underexpl…
cs.CV2026
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…
cs.CV2025
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…