[PDF] Image-based 3D Object Reconstruction: State-of-the-Art and Trends

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.

Learning To Recover 3D Scene Shape From a Single Image