3 papers
cs.CV2025
GSta: Efficient Training Scheme with Siestaed Gaussians for Monocular 3D Scene Reconstruction
Anil Armagan, Albert Saà -Garriga, Bruno Manganelli +2
Gaussian Splatting (GS) is a popular approach for 3D reconstruction, mostly due to its ability to converge reasonably fast, faithfully represent the scene and render (novel) views…
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.CV2024
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces
Evangelos Skartados, Mehmet Kerim Yucel, Bruno Manganelli +2
Neural Radiance Fields (NeRF) have quickly become the primary approach for 3D reconstruction and novel view synthesis in recent years due to their remarkable performance. Despite t…