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GaussAnything: Semantic Intent-Driven Refinement of Evolving Gaussian Scenes for Standalone VR

Standalone VR headsets are still bottlenecked by memory and compute, so GaussAnything targets a practical pain point: how to keep reconstructed 3D scenes responsive when users inspect specific objects. The system reallocates a fixed Gaussian budget toward the queried object, preserving global context while staying within a steady ~10 ms GPU frame cost. It’s a useful signal for VR rendering pipelines that need intent-aware detail, not just visibility-based LOD.

First reported 1 day, 9 hours ago vr openxr gaussian splatting standalone hardware
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arXiv cs.GR arXiv cs.GR

RBF Your SDF: Radial Basis Function Interpolation of Signed Distance Fields with Implied Tangent Points

1 day, 9 hours ago Read source
arXiv cs.GR arXiv cs.GR 0% match

GaussAnything: Semantic Intent-Driven Refinement of Evolving Gaussian Scenes for Standalone VR

1 day, 9 hours ago Read source