Image-based 3D Object Reconstruction: State-of-the-Art and Trends
2019. 11. 1. We focus on the works which use deep learning techniques to estimate the 3D shape of generic objects either from a single or multiple RGB images ...
Self-Supervised 3D Mesh Reconstruction from Single Images - Tao
In the deep learning era deep models can learn to re- construct 3D objects in a supervised manner [7]. 3D su- pervised reconstruction methods [4
A Point Set Generation Network for 3D Object Reconstruction From
Generation of 3D data by deep neural networks has been attracting increasing attention in the the-art methods on single image based 3d reconstruction.
Voxel-Based 3D Object Reconstruction from Single 2D Image Using
2021. 9. 17. Recently after the availability of large 3D data sets such as ShapeNet [5] and advance- ment in machine learning techniques
Topology-Aware Single-Image 3D Shape Reconstruction - Qimin
Thanks to the significant progress made in deep learning researchers have built more neural networks [26
Deep Mesh Reconstruction From Single RGB Images via Topology
Reconstructing the 3D mesh of a general object from a single image is now possible thanks to the latest advances of deep learning technologies.
Self-Supervised 3D Mesh Reconstruction From Single Images
In the deep learning era deep models can learn to re- construct 3D objects in a supervised manner [7]. 3D su- pervised reconstruction methods [4
Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi
single-view or multi-view RGB images by deep neural net- works has attracted increasing attention of 3D CAD models (e.g. ShapeNet [33])
Learning to Construct 3D Image from Single 2D Image
Construction of 3D images from single 2D counterpart using Deep Learning. Muhammad Awais Conventionally multiple images are required to reconstruct 3D.
