This work encodes scalar fields as anisotropic Gaussian primitives under a fixed budget that serves every subsequent visualization state - supporting post-hoc transfer-function, colormap, lighting, and viewpoint changes without re-encoding.
Michael R. Martin, J. Insley, Victor A. Mateevitsi et al.· 1 citation
Across structured, unstructured, and particle data, the sample-based formulation improves reconstruction accuracy with measurably fewer primitives in comparison to prior formulations, achieving up to 4.8 dB higher PSNR with an approximate 44x reduction in primitive count.
Michael R. Martin, J. Insley, Victor A. Mateevitsi et al.· 0 citations
This work presents a systematic compute-platform benchmark of neural 3D reconstruction methods, evaluating NeRF and 3D Gaussian Splatting training and rendering on GPU-enabled computing devices, and place Meta's SAM3D single-image reconstruction on the same axes to quantify its latency and fidelity gap relative to per-...
Yongho Kim, Meng-Jiao Han, Victor A. Mateevitsi et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.