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Neural Scene Representations for Semantic Segmentation of 3D Scenes using soley 2D supervision.
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2026-02-20 17:13:41
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NeSF: Neural Semantic Fields NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes TMLR 2022 Suhani Vora *1 , Noha Radwan *1 , Klaus Greff 1 , Henning Meyer 1 , Kyle Genova 1 , Mehdi S. M. Sajjadi 1 , Etienne Pot 1 , Andrea Tagliasacchi 1,2 , Daniel Duckworth 1 1 Google Research, 2 University of Toronto * Denotes equal contribution Paper arXiv Video Code Data Abstract We present NeSF , a method for producing 3D semantic fields from posed RGB images alone. In place of classical 3D representations, our method builds on recent work in implicit neural scene representations wherein 3D structure is captured by point-wise functions. We leverage this methodology to recover 3D density fields upon which we then train a 3D semantic segmentation model supervised by posed 2D semantic maps. Despite being trained on 2D s...
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