3d gaussian splatting as new era: A survey

B Fei, J Xu, R Zhang, Q Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting

Z Shao, Z Wang, Z Li, D Wang, X Lin… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present SplattingAvatar a hybrid 3D representation of photorealistic human avatars with
Gaussian Splatting embedded on a triangle mesh which renders over 300 FPS on a modern …

Towards accurate alignment in real-time 3d hand-mesh reconstruction

X Tang, T Wang, CW Fu - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Abstract 3D hand-mesh reconstruction from RGB images facilitates many applications,
including augmented reality (AR). However, this requires not only real-time speed and …

Eventhands: Real-time neural 3d hand pose estimation from an event stream

V Rudnev, V Golyanik, J Wang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract 3D hand pose estimation from monocular videos is a long-standing and
challenging problem, which is now seeing a strong upturn. In this work, we address it for the …

Metaverse for the Energy Industry: Technologies, Applications, and Solutions

Q Ye, Y Ran, Q Wang, Z Li, J Sun… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Metaverse refers to the integration of physical and virtual realities, offering new
possibilities for enhancing operations and services across various industries. However, its …

Learning to fit morphable models

V Choutas, F Bogo, J Shen, J Valentin - European Conference on …, 2022 - Springer
Fitting parametric models of human bodies, hands or faces to sparse input signals in an
accurate, robust, and fast manner has the promise of significantly improving immersion in …

Efficient view path planning for autonomous implicit reconstruction

J Zeng, Y Li, Y Ran, S Li, F Gao, L Li… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Implicit neural representations have shown promising potential for 3D scene reconstruction.
Recent work applies it to autonomous 3D reconstruction by learning information gain for …

A simulation framework of unmanned aerial vehicles route planning design and validation for landslide monitoring

D Xie, R Hu, C Wang, C Zhu, H Xu, Q Li - Remote Sensing, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have emerged as a highly efficient means of monitoring
landslide-prone regions, given the growing concern for urban safety and the increasing …

Advances in vision-based deep learning methods for interacting hands reconstruction: A survey

Y Miao, Y Liu - Computers & Graphics, 2024 - Elsevier
Vision-based hand reconstructions have become noteworthy tools in enhancing interactive
experiences in various applications such as virtual reality, augmented reality, and …

Development of a Non-Contact Sensor System for Converting 2D Images into 3D Body Data: A Deep Learning Approach to Monitor Obesity and Body Shape in …

JY Lee, K Kwon, C Kim, S Youm - Sensors, 2024 - mdpi.com
This study demonstrates how to generate a three-dimensional (3D) body model through a
small number of images and derive body values similar to the actual values using generated …