CGI

This paper presents an approach to predicting variation tendency of human faces with regard to cranium changes based on deep learning. Our work focuses on generating individual customized facial models with high plausibility. Inspired by the performance ...

We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstruction generative adversarial network (GAN). By using an encoder-decoder 3D deep neural network on a GAN architecture, and ...

We tackle the problem of real-time constrained terrain generation by proposing a new fractal-based GPU model. Our approach allows to control the terrain's topology and aspect both on a global and local scope in a homogeneous manner. Relying on a ...

In this paper, we propose an approximate Voronoi base domain method to address constrained texture mapping problem. In particular, we generate approximate Voronoi base domains on the input texture image plane and planar embedding of mesh surface. Then, ...

Mesh-based animation, usually represented as dynamic meshes with fixed connectivity, is becoming more and more prevalent in movies, games and other graphics applications nowadays, and there is a growing need to compactly store and rapidly transmit these ...

In this paper, we present a data mining based algorithm to automatically locate performance bottlenecks at algorithm level for a complex rendering system. The basic idea is to treat the bottleneck identification problem as a variable importance analysis ...

Currently, NURBS is the most popular mathematical tool for curve and surface design. One of the geometric meanings of NURBS curve is that the limiting of the curve is its regular control curve, when all weights tend to infinity. In this paper, we apply ...

In this paper, we develop a new approach to blending of constant and varying parametric surfaces with curvature continuity. We propose a new mathematical model consisting of a vector-valued sixth-order partial differential equation (PDE) and time-...

The collagen fiber organization plays an important role in controlling the mechanical strength of the extracellular matrix tissues and in the cornea is thought to control tissue shape and refractive power. In the case of the cornea, collagen fibers run ...

The techniques for photographic style transfer have been researched for a long time, which explores effective ways to transfer the style features of a reference photo onto another content photograph. Recent works based on convolutional neural networks ...

Linking and brushing is an essential technique for interactive data exploration and analysis that leverages coordinated multiple views to identify, select, and combine data points of interest. We propose to augment this technique by directly exploring ...

In the visual analysis of high-dimensional data points, star coordinate plot maps the data points into an observable space by conducting a linear combination of radial distributed axes vectors. However, when plotting additional data points which are ...

The matrix completion problem has found many applications in image and graphics fields. Developing fast and exact algorithms still remains challenging. The truncated nuclear norm (TNN), taking advantage of priori target rank information, is known as a ...

The current study concerns the identification of possible differences in perception between the virtual and the real world in terms of the effect on brain activity. For this reason, an EEG device was used to capture participants' brain activity in ...

Porous structures had traditionally been generated using triply periodic minimal surfaces (TPMS), which however often encounter problems with the continuity and integrality of the generated curved surfaces when applying to irregular models. The present ...

In this paper, we describe a novel method for synthesizing realistic human movement in videos according to different body motion inputs, which are based on conditional GAN and Gram loss. Moreover, we present a character motion style transfer model with ...

Fast and reliable physically-based simulation techniques are essential for providing flexible visual effects for computer graphics content. In this paper, we propose a fast and reliable hierarchical cloth simulation method, which combines conventional ...

Transparency requires geometry to be blended in depth sorted order. Order independent transparency (OIT) allows geometry to be rendered in any order, with exact OIT capturing all fragment data during rasterization before sorting and blending. The ...

When building robotic hands, researchers are always face with two main issues of how to make robotic hands look human-like and how to make robotic hands function like real hands. Most existing solutions solve these issues by manually modelling the ...

Detecting small hand-held objects plays a critical role for human-robot interaction, because the hand-held objects often reveal the intention of the human, e.g., use a cell phone to make a call or use a cup to drink, thus helps the robots understand the ...

A novel and efficient 3D calibration method for different types of autostereoscopic multi-view 3D displays is presented in this paper. In our method, a camera is placed at different locations within the viewing volume of a 3D display to capture a series ...

The depth images from RGB-D cameras contain a substantial amount of artifacts such as holes and flickering. Moreover, for fast moving objects in successive frames, we perceive ghosting artifacts on the depth images. Hence, the poor quality of the depth ...

The human eye's state of motion and content of interest can express people's cognitive status and emotional status based on their situation. When observing the surrounding things, the human eyes make different eye movements according to the observed ...

This paper presents a novel GPU-based parallel algorithm to simplify triangular meshes. Existing GPU based methods usually produce simplified meshes with lower quality. This is generally because they put more emphasis on parallelism than mesh quality. ...

Most Virtual Reality1(VR) applications are dedicated to providing a realistic response to users. Prior works have argued that the importance of credibility or believability to evoke realistic responses. However, there are few empirical works focused on ...

This paper discusses automatic path planning for tower crane lifting in highly complex environments to be digitized using point cloud representation. A mathematical optimization technique is developed to identify the lifting path with GPU accelerated ...

An Eulerian approach to fluid flow provides an efficient, stable paradigm for realistic fluid simulation. However, its traditional reliance on a fixed-resolution grid is not ideal for simulations that simultaneously exhibit both large and small-scale ...

In this paper, we extend the sparse representation based image super-resolution method to process videos, mainly aiming at obtaining temporally consistent consecutive high-resolution (HR) video frames. In our formulation, the previous estimated HR frame ...

Accurately predicting video saliency is important for applications such as video quality assessment, summary, compression, and retargeting. As the automatic saliency models for videos suffer from problems of inaccuracy, determining video saliency from ...

Sketch is one of the most important art expression forms for traditional Chinese painting. This paper presents a complete sketch generation framework for ancient mural paintings. First, we propose a deep learning network to perform mural-to-sketch ...