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Nerfbusters: Removing ghostly artifacts from casually captured nerfs
Abstract Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts such as
floaters or flawed geometry when rendered outside the input camera trajectory. Existing …
floaters or flawed geometry when rendered outside the input camera trajectory. Existing …
Flexible Depth Completion for Sparse and Varying Point Densities
While recent depth completion methods have achieved remarkable results filling in relatively
dense depth maps (eg projected 64-line LiDAR on KITTI or 500 sampled points on NYUv2) …
dense depth maps (eg projected 64-line LiDAR on KITTI or 500 sampled points on NYUv2) …
Deep sparse depth completion using multi-affinity matrix
Image-guided depth completion aims to generate dense depth maps from sparse depth
maps guided by their corresponding color (RGB) images. In this paper, we propose deep …
maps guided by their corresponding color (RGB) images. In this paper, we propose deep …
Depth completion with multiple balanced bases and confidence for dense monocular slam
Dense SLAM based on monocular cameras does indeed have immense application value in
the field of AR/VR, especially when it is performed on a mobile device. In this paper, we …
the field of AR/VR, especially when it is performed on a mobile device. In this paper, we …
Sparse Depth Completion Based on Boundary Prediction Assistance
H ZHOU, T LI, M SUN, D WU, M ZHOU - Journal of **hua University …, 2025 - xhuqk.com
Depth images completion aims to recover dense depth images from sparse depth images,
however, the depth images restored by many current depth completion algorithms often …
however, the depth images restored by many current depth completion algorithms often …
[PDF][PDF] Flexible Depth Completion for Sparse and Varying Point Densities (Supplementary Material)
J Park, YJLK Kitani - openaccess.thecvf.com
• Section G presents a comparison of our method to Sparsity Agnostic Depth Completion [5].•
Section I contains additional details of the nuScenes depth completion dataset as well as …
Section I contains additional details of the nuScenes depth completion dataset as well as …
基于边界预测辅助的稀疏深度修复
周恒， **滔， 孙明明， 武丹丹， 周明会 - 西华大学学报 (自然科学版), 2025 - xhuqk.com
深度图像修复旨在从稀疏深度图像中恢复出稠密的深度图像, 然而目前许多深度修复算法所修复
出的深度图像往往存在细节结构缺失, 深度不连续和边界模糊等问题. 针对这些问题 …
出的深度图像往往存在细节结构缺失, 深度不连续和边界模糊等问题. 针对这些问题 …