Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

As the COVID-19 pandemic continues, online-based business models are growing rapidly,
and the demand for computer graphic (CG) technology is increasing. To boost the …

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts
from input images. In general, digital image denoising algorithms, executed on computers …

We quantify the generalization of a convolutional neural network (CNN) trained to identify
cars. First, we perform a series of experiments to train the network using one image dataset …

Cultural and technological evolution have profoundly transformed architectural simulation
and visualisation, revolutionising how architects communicate and execute projects. The …

Real‐time ray tracing (RTRT) is being pervasively applied. The key to RTRT is a reliable
denoising scheme that reconstructs clean images from significantly undersampled noisy …

We present a technique that leverages ray tracing hardware available in recent Nvidia RTX
GPUs to solve a problem other than classical ray tracing. Specifically, we demonstrate how …

Approximate nearest neighbor (ANN) search is a widely applied technique in modern
intelligent applications, such as recommendation systems and vector databases. Therefore …

Building on our original Virtual Ray Tracer tool, we present Virtual Ray Tracer 2.0, an
interactive and gamified application that allows students/users to view and explore the ray …

There is a strong demand for high fidelity sensor models which are capable of simulating
realistic automotive sensor perception of Radar, LiDAR and camera sensors in real time, in …