EviSplat: Preserving Multi-View Evidence in 3D Gaussian Splatting for Open-Vocabulary Segmentation
EviSplat is introduced, which preserves individual observation features as evidence for later text queries within class-agnostic 3D instances that represent objects, object parts, or background regions and learns a distribution describing which visual appearances its observations support.
Sung-Ho Moon, Kota Shimomura, Junwoo Park et al.
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