Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Physicists are rethinking how to detect elusive particles like neutrinos by combining existing technologies in unconventional ...

Abstract: The field of neural rendering has seen remarkable progress, driven by advancements in generative models and differentiable rendering techniques. While 2D diffusion has achieved notable ...

We propose 3D-SLNR, a new and ultra-lightweight neural representation with outstanding performance for large-scale 3D mapping. The representation defines a global signed distance function (SDF) in ...