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3d gaussian splatting: Survey, technologies, challenges, and opportunities
3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …
become a mainstream method for 3D representations. It can effectively transform multi-view …
[PDF][PDF] Scube: Instant large-scale scene reconstruction using voxsplats
We present SCube, a novel method for reconstructing large-scale 3D scenes (geometry,
appearance, and semantics) from a sparse set of posed images. Our method encodes …
appearance, and semantics) from a sparse set of posed images. Our method encodes …
Distractor-free Generalizable 3D Gaussian Splatting
We present DGGS, a novel framework addressing the previously unexplored challenge of
Distractor-free Generalizable 3D Gaussian Splatting (3DGS). It accomplishes two key …
Distractor-free Generalizable 3D Gaussian Splatting (3DGS). It accomplishes two key …
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map
Robots require high-fidelity reconstructions of their environment for effective operation. Such
scene representations should be both, geometrically accurate and photorealistic to support …
scene representations should be both, geometrically accurate and photorealistic to support …
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
Recent advancements in static feed-forward scene reconstruction have demonstrated
significant progress in high-quality novel view synthesis. However, these models often …
significant progress in high-quality novel view synthesis. However, these models often …
[PDF][PDF] Towards Zero Bottlenecks for Scaling Autonomous Driving
A Tonderski - 2025 - lup.lub.lu.se
In this dissertation I examine the main scaling challenges in autonomous driving
development, discussing recent advances in the field while contributing specific solutions to …
development, discussing recent advances in the field while contributing specific solutions to …
Multimodální strojové učení pro automatické porozumění městským prostředím
V Antonín - 2024 - dspace.cvut.cz
Tato práce se zabývá multimodálním stojovým učením s cílem řešit problémy při vývoji
modelů strojového učení s omezeným množstvím anotovaných trénovacích dat, což je …
modelů strojového učení s omezeným množstvím anotovaných trénovacích dat, což je …