1 citations · 1 across the 1 of their papers we have counts for
8 papers
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna WaczyÅska, Tomasz Szczepanik, Piotr Borycki +3
Implicit Neural Representations (INRs) approximate discrete data through continuous functions and are commonly used for encoding 2D images. Traditional image-based INRs employ neur…
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…
GS-Verse: Mesh-based Gaussian Splatting for Physics-aware Interaction in Virtual Reality
Anastasiya Pechko, Piotr Borycki, Joanna WaczyÅska +4
As the demand for immersive 3D content grows, the need for intuitive and efficient interaction methods becomes paramount. Current techniques for physically manipulating 3D content…
GASP: Gaussian Splatting for Physic-Based Simulations
Piotr Borycki, Weronika Smolak, Joanna WaczyÅska +3
Physics simulation is paramount for modeling and utilizing 3D scenes in various real-world applications. However, integrating with state-of-the-art 3D scene rendering techniques su…
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…
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup
Joanna WaczyÅska, Piotr Borycki, Joanna Kaleta +2
Over the past years, we have observed an abundance of approaches for modeling dynamic 3D scenes using Gaussian Splatting (GS). Such solutions use GS to represent the scene's struct…