Image-based 3D Object Reconstruction: State-of-the-Art and Trends
1 nov. 2019 The goal of image-based 3D reconstruction is to infer the 3D geometry and structure of objects and scenes from one or multiple 2D images.
Voxel-Based 3D Object Reconstruction from Single 2D Image Using
17 sept. 2021 In multiple-view-based methods special image cap- turing devices
Learning Pose-invariant 3D Object Reconstruction from Single-view
Almost all existing deep-learning based 3D reconstruc- tion methods that use 2D images as supervision require multi- view images of each object instance
Toward Realistic Single-View 3D Object Reconstruction With
a 3D reconstruction network from a multi-image dataset. Our algorithm is more general and covers Images are 2D projections of real-world 3D objects and.
Perspective Transformer Nets: Learning Single-View 3D Object
for 3D object reconstruction when the projection loss is involved. generative model for 3D volumetric data and combined it with a 2D image embedding ...
Silhouette-based 3D Model Reconstruction from Multiple Images
(3D) rigid object from its two dimensional (2D) im- ages is a challenging computer vision problem under gen- eral imaging conditions. Without a priori
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction
7 juil. 2020 MarrNet (Wu et al. 2017) reconstructs. 3D objects by estimating depth
Three-Dimensional Reconstruction from a Single RGB Image Using
23 août 2022 a single image or multi-view reconstruction from multiple images ... trained to reconstruct 3D scenes from 2D images in different ways.
Escaping Platos Cave: 3D Shape From Adversarial Rendering
10 jui. 2021 Tulsiani et al. [29] reconstruct 3D shape supervised by multiple 2D images of the same object with known view transformations at learning time.
3D Shape Reconstruction From 2D Images With Disentangled
Reconstructing a 3D shape from a 2D image (2D-to-3D semantic part of object in 2D images. ... for single and multi-view 3D object reconstruction.
