3d gaussian splatting as new era: A survey
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 …
Computer Graphics, offering explicit scene representation and novel view synthesis without …
Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting
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 …
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
Abstract 3D hand-mesh reconstruction from RGB images facilitates many applications,
including augmented reality (AR). However, this requires not only real-time speed and …
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 …
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 …
possibilities for enhancing operations and services across various industries. However, its …
Learning to fit morphable models
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 …
accurate, robust, and fast manner has the promise of significantly improving immersion in …
Efficient view path planning for autonomous implicit reconstruction
Implicit neural representations have shown promising potential for 3D scene reconstruction.
Recent work applies it to autonomous 3D reconstruction by learning information gain for …
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
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 …
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 …
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 …
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 …
small number of images and derive body values similar to the actual values using generated …