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Found 2 papers, 1 papers with code
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation
We present a novel approach to perform 3D semantic segmentation solely from 2D supervision by leveraging Neural Radiance Fields (NeRFs).
Pre-Trained Language Models for Interactive Decision-Making
Together, these results suggest that language modeling induces representations that are useful for modeling not just language, but also goals and plans; these representations can aid learning and generalization even outside of language processing.
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