Occlusion is a common issue in 3D reconstruction from RGB-D videos, ofte...
The emergence of Neural Radiance Fields (NeRF) has promoted the developm...
Geodesics are essential in many geometry processing applications. Howeve...
Location privacy is critical in vehicular networks, where drivers'
traje...
The quality of point clouds is often limited by noise introduced during ...
Volume rendering-based 3D reconstruction from multi-view images has gain...
We propose a robust method for learning neural implicit functions that c...
Implicit neural representation (INR) is a popular approach for
arbitrary...
Point clouds are characterized by irregularity and unstructuredness, whi...
The recent neural implicit representation-based methods have greatly adv...
Poisson surface reconstruction (PSR) remains a popular technique for
rec...
Recovering high quality surfaces from noisy point clouds, known as point...
Grounding dialogue system with external knowledge is a promising way to
...
Aiming at developing intuitive and easy-to-use portrait editing tools, w...
We develop a new method for portrait image editing, which supports
fine-...
This paper investigates the problem of temporally interpolating dynamic ...
In this paper, we develop a novel method for fast geodesic distance quer...
The existing 3D deep learning methods adopt either individual point-base...
Point cloud upsampling aims to generate dense point clouds from given sp...
We present a new convolutional neural network, called Multi Voxel-Point
...
With the development of Deep Neural Network (DNN), as well as the demand...
This paper addresses the problem of computing dense correspondence betwe...
Although convolutional neural networks have achieved remarkable success ...
This paper addresses the problem of generating dense point clouds from g...
3D human segmentation has seen noticeable progress in re-cent years. It,...
Downsampling is a commonly-used technique in 3D point cloudprocessing fo...
3D reconstruction from a single view image is a long-standing prob-lem i...
This paper addresses the problem of generating uniform dense point cloud...
Point cloud filtering is a fundamental problem in geometry modeling and
...
This paper presents baseline results for the Third Facial Micro-Expressi...
Nowadays, big data of digital media (including images, videos and 3D
gra...
This paper presents a simple yet effective method for feature-preserving...
Complex blur like the mixup of space-variant and space-invariant blur, w...
In this paper, we propose a parallel and scalable approach for geodesic
...
The heat method is a popular approach to computing geodesic distances on...
For the classic aesthetic interpolation problem, we propose a novel thou...
We propose a robust, anisotropic normal estimation method for both point...
The synergy between the cloud and the IoT has emerged largely due to the...
This paper presents Poisson vector graphics, an extension of the popular...
Intrinsic Delaunay triangulation (IDT) is a fundamental data structure i...
In many graphics applications, the computation of exact geodesic distanc...