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${M^2D}$NeRF: Multi-Modal Decomposition NeRF with 3D Feature Fields
May 9, 2024, 4:45 a.m. | Ning Wang, Lefei Zhang, Angel X Chang
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural fields (NeRF) have emerged as a promising approach for representing continuous 3D scenes. Nevertheless, the lack of semantic encoding in NeRFs poses a significant challenge for scene decomposition. To address this challenge, we present a single model, Multi-Modal Decomposition NeRF (${M^2D}$NeRF), that is capable of both text-based and visual patch-based edits. Specifically, we use multi-modal feature distillation to integrate teacher features from pretrained visual and language models into 3D semantic feature volumes, thereby facilitating …
3d scenes abstract arxiv challenge continuous cs.cv encoding feature fields modal multi-modal nerf semantic type
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