三维重建(3D Reconstruction):从一堆二维图像中恢复物体的三维结构,并进行渲染,最终在计算机中进行客观世界的虚拟现实的表达。 ->输入无序图像 Unstructured Images ->图像对齐(Assoc.),筛选图像,构建场景图(也称为连接图)。 ->稀疏重建(Structure from Motion,SFM),生成稀疏的3D点云结构,该步骤的贡献是建立统一的...
Single-view Reconstruction [ICCV19] Tex2Shape: Detailed Full Human Body Geometry From a Single Im...
1. 结构从运动(SfM):平地起高楼的必杀技 先说第一个,结构从运动(Structure from Motion,简称SfM),这玩意儿绝对是重建领域的“老油条”。它的原理也简单粗暴,就是从一堆2D图片里搞清楚摄像机在动啥,然后顺带把场景的3D结构也摸个透。 怎么理解呢?打个比方,你站在街头,拿手机随便咔咔几张照片,SfM就能告诉你...
depth fusion, i.e., dense 3D reconstruction from multiple depth images 动机: Curless and Levoy in 1996的方法没法解决遮挡,而且需要超多帧来降噪后才能实现 只看了摘要 输入:深度图(没说多少张) 输出:体素模型 优势:噪声较少,可以补全模型 A Point Set Generation Network for 3D Object Reconstruction fro...
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision. X. Yan, J. Yang, E. Yumer, Y. Guo, H. Lee. In NIPS, 2016：https://sites.google.com/site/skywalkeryxc/perspective_transformer_nets Unsupervised Learning of 3D Structure from Images...
VEDALDI A.: Realfusion: 360deg reconstruction of any object from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2023), pp. 8446-8455. 12, 18 [MKXBP22] Mohammad Khalid N., Xie T., Belilovsky E., POPA T.: Clip-mesh: Generating ...
3D Face Reconstruction From Multiple 2D Images 1. BackgroundIn order to overcome the scarcity of 3D face datasets, a real-world, large-scale, high- precision multi-modal dataset, namely PixelAI-3DFace, is released to bridge the gap between 2D images and 3D shapes in this challenge.The ...
[4] Adrian Hilton, Andrew J Stoddart, John Illingworth, and Terry Windeatt. Reliable surface reconstruction from multiple range images. In European conference on computer vision, pages 117–126. Springer,1996.
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2、Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single-view Images 文章链接:https://arxiv.org/pdf/2003.12753.pdf 论文主要开源了单视图图像重建3D服装的数据集 3、Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction ...