
We propose a novel hash featurized manifold representation that fully unleashes the expressivity of volumetric hash encoding by rasterizing the surface manifold to explicitly prioritize multi-view consistency, enabling high-fidelity cross-scale neural rendering of real-world large-scale scenes.


coremsg

high-fidelity-cross-scale-neural-rendering-of-real-world-large-scale-scenes-with-hash-featurized-manifold


High-Fidelity Cross-Scale Neural Rendering of Real-World Large-Scale Scenes with Hash Featurized Manifold
