POMA-3D learns self-supervised 3D scene representations from point maps and improves performance on geometric 3D tasks including navigation and scene retrieval.
Splattalk: 3d vqa with gaussian splatting
3 Pith papers cite this work. Polarity classification is still indexing.
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Occ-VLM reconstructs 3D occupancy from 2D images via a single encoder to ground vision-language reasoning, claiming SOTA occupancy prediction and parity with 3D-input VLMs on VQA and captioning.
FF3R unifies geometric and semantic 3D reconstruction in a single annotation-free feed-forward network trained solely via RGB and feature rendering supervision.
citing papers explorer
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POMA-3D: The Point Map Way to 3D Scene Understanding
POMA-3D learns self-supervised 3D scene representations from point maps and improves performance on geometric 3D tasks including navigation and scene retrieval.
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Occ-VLM: Occupancy Grounded Vision Language Model for Indoor Scene Understanding
Occ-VLM reconstructs 3D occupancy from 2D images via a single encoder to ground vision-language reasoning, claiming SOTA occupancy prediction and parity with 3D-input VLMs on VQA and captioning.
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FF3R: Feedforward Feature 3D Reconstruction from Unconstrained views
FF3R unifies geometric and semantic 3D reconstruction in a single annotation-free feed-forward network trained solely via RGB and feature rendering supervision.