Study is being conducted on training Generative Adversarial Networks (GANs) from 2D
datasets to generate 3D human body avatars. Numerous applications, such as virtual reality …

The rapid advancement of machine learning and computer vision has paved the way for
significant processes in 3D avatar reconstruction from 2D images. Recently, generative …

Reconstructing a 3D avatar of a human body from 2D images is not an easy task since it
depends on several processing steps to enhance 3D acquisition devices input. Using …

In this paper, we consider a novel problem of reconstructing a 3D human avatar from
multiple unconstrained frames, independent of assumptions on camera calibration, capture …

The 3D reconstruction of the human body from a single RGB or RGB-D image holds
extensive application potential in domains such as virtual reality and human-computer …

In this paper, we introduce Human-LRM, a single-stage feed-forward Large Reconstruction
Model designed to predict human Neural Radiance Fields (NeRF) from a single image. Our …

3D human reconstruction from a single image has achieved great progress with recent deep
neural networks. However, conventional approaches still struggle with the issues of over …

Front-view human information is critical for reconstructing a detailed 3D human body from a
single RGB/RGB-D image. However, we sometimes struggle to access the front-view portrait …

We propose NormalGAN, a fast adversarial learning-based method to reconstruct the
complete and detailed 3D human from a single RGB-D image. Given a single front-view …

With the development of AR/VR technologies, a reliable and straightforward way to digitize a
three-dimensional human body is in high demand. Most existing methods use complex …