Preprint
Sep 2026
Compact Neural Appearance Models for Efficient Gaussian Splatting
The authors' neural representation is the most compact model evaluated and, compared to third-degree SH, reduces the per-primitive appearance footprint from 192 to 28 bytes, accelerates optimization by 1.3$\times, while improving reconstruction quality.
Florian Hahlbohm, Jorge Condor, Linus Franke et al.
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