GSsplat is a feed-forward generalizable 3D Gaussian Splatting model that renders novel-view colors and semantic maps from multi-view inputs without per-scene training, claiming state-of-the-art semantic accuracy at the highest speed.
Gnesf: Generalizable neural semantic fields,
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GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes
GSsplat is a feed-forward generalizable 3D Gaussian Splatting model that renders novel-view colors and semantic maps from multi-view inputs without per-scene training, claiming state-of-the-art semantic accuracy at the highest speed.