Apr 19, 2024 · RD-NeRF: Neural Robust Distilled Feature Fields for Sparse-view Scene Segmentation. Yongjia Ma, Bin Dou, Tianyu Zhang, Zejian Yuan, Xi'an ...
Apr 14, 2024 · Article on RD-NERF: Neural Robust Distilled Feature Fields for Sparse-View Scene Segmentation, published in 32 on 2024-04-14 by Yongjia Ma+3 ...
RD-NERF: Neural Robust Distilled Feature Fields for Sparse-View Scene Segmentation. Y Ma, B Dou, T Zhang, Z Yuan. ICASSP 2024-2024 IEEE International ...
RD-NERF: Neural Robust Distilled Feature Fields for Sparse-View Scene Segmentation ... robustness and effectiveness in distillation. Expand. Add to Library.
Oct 26, 2024 · Neural Fields have emerged as a transformative approach for 3D scene representation in computer vision and robotics, enabling accurate ...
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This is a collection of documents and topics NeRF/3DGS & Beyond channel accumulated, as well as papers in literaure.
Feb 17, 2024 · This review thoroughly examines the role of semantically-aware Neural Radiance Fields (NeRFs) in visual scene understanding, covering an analysis of over 250 ...
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Emerging neural radiance fields (NeRF) are a promising scene representation for computer graphics, enabling high-quality 3D reconstruction and novel view.
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A curated list of awesome scene representation(NeRFs) papers, code, and resources, inspired by awesome-computer-vision.
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Apr 3, 2024 · Emerging neural radiance fields (NeRF) are a promising scene representation for computer graphics, enabling high-quality 3D reconstruction ...
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