[1] PYGS: LARGE-SCALE SCENE REPRESENTATION WITH PYRAMIDAL 3D GAUSSIAN SPLATTING [2] Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs [3] Block-nerf: Scalable large scene neural view synthesis [4] Switch-nerf: Learning scene decomposition with mixture of experts fo...
近年来,基于Deep learning 的3D reconstruction 也逐渐火热起来, 例如David EigenNIPS2014上的文章“Depth Map Prediction from a Single Image using a Multi-Scale Deep Network”,以及Fayao Liu 在CVPR2015上的文章“Deep Convolutional Neural Fields for Dept...
近年来，基于Deep learning的3D reconstruction 也逐渐火热起来, 例如DavidEigenNIPS2014上的文章 “Depth ...
Multi-View Reconstruction 2403.16043——Semantic Is Enough: Only Semantic Information For NeRF Reconstruction 最近的研究将隐含的3D表示与语义信息相结合,如semantic NeRF,已经证明NeRF模型可以在渲染具有语义标签的3D结构方面表现出色。本研究旨在通过仅关注语义输出并去除RGB输出分量来扩展语义神经辐射场(Semantic NeRF)...
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency. S. Tulsiani, T. Zhou, A. A. Efros, J. Malik. In CVPR, 2017：https://shubhtuls.github.io/drc/ Unsupervised Learning of Depth and Ego-Motion from Video. T. Zhou, M. Brown, N. Snavel...
三维重建3D Reconstruction 三维重建概念 三维重建(3D Reconstruction)三维重建是指通过从不同角度或者来源采集的二维图像、传感器数据或其他相关信息,来恢复或生成物体、场景或结构的三维模型的过程。这种技术在计算机图形学、计算机视觉、遥感技术、医学影像处理等领域都有应用。
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction[98] - 使用任意视角的单个或多个对象实例的图像,以 3D 占据网格的形式重建对象,主要利用合成数据学习从物体 2D 图像到 3D 形状的映射,网络不需要任何图像标注或物体类别标签就可以训练和测试。该网络由一个 2D-CNN、一个 3D ...
In this thesis, the structure from motion problem for calibrated scenes containing independently moving objects (IMO) has been studied. For this purpose, the overall reconstruction process is partitioned into various stages. The first stage deals with the fundamental problem of estimating structure and...
Multi-view stereo algorithms are an attractive technique for the digital reconstruction of outdoor sites. Concerning the data acquisition process a vertical take off and landing UAV carrying a digital camera is a suitable platform in terms of mobility and flexibility in viewpoint placement. We introd...
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction[98] - 使用任意视角的单个或多个对象实例的图像,以 3D 占据网格的形式重建对象,主要利用合成数据学习从物体 2D 图像到 3D 形状的映射,网络不需要任何图像标注或物体类别标签就可以训练和测试。该网络由一个 2D-CNN、一个 3D ...