The conversion of 2D images into 3D images has been a crucial scientific problem. In the
industries of computer graphics and animations, medical imaging augmented and virtual …

Recent advancements and breakthroughs in deep learning have accelerated the rapid
development in the field of computer vision. Having recorded a huge success in 2D object …

Deep learning techniques have attracted many researchers in computer vision field to solve
computer vision problems such as image segmentation and object recognition. This success …

The geometric feature of the image acquisition-based computer vision application utilizes
the 3D image reconstruction for the required scene. The inaccurate reconstruction results …

The reconstruction of 3D object from a single image is an important task in the field of
computer vision. In recent years, 3D reconstruction of single image using deep learning …

Reconstruction of multi-view 3-dimensional images is essential in robotics and computer
vision to obtain an accurate 3-dimensional representation of objects by analyzing the 2 …

Neural networks are a set of algorithms whose operation is inspired by biological neurons,
these networks have been developed to solve problems: control, recognition of shapes or …

Rapid growth in computer graphics to enhance user experience in almost every sector like e-
commerce, education, healthcare, gaming; calls for 3D representation unlike 2D …

3D Object Reconstruction is the task of predicting the 3D model of an object given a set of
2D images. In this paper, we propose an approach to solving this problem, given a single 2D …

With the emergence of Artificial Intelligence (AI), there are many applications for 3D
computer vision, and different problems in diversified domains are being solved. Particularly …