1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
VoD-3DGS: View-opacity-Dependent 3D Gaussian Splatting
Mateusz Nowak, Wojciech Jarosz, Peter Chin
Reconstructing a 3D scene from images is challenging due to the different ways light interacts with surfaces depending on the viewer's position and the surface's material. In class…
cs.CV2025
Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting
Anil Armagan, Albert Saà-Garriga, Bruno Manganelli +2
Gaussian splatting (GS) for 3D reconstruction has become quite popular due to their fast training, inference speeds and high quality reconstruction. However, GS-based reconstructio…
cs.LG2024
Explore Reinforced: Equilibrium Approximation with Reinforcement Learning
Ryan Yu, Mateusz Nowak, Qintong Xie +2
Current approximate Coarse Correlated Equilibria (CCE) algorithms struggle with equilibrium approximation for games in large stochastic environments but are theoretically guarantee…