2 citations · 5 across the 7 of their papers we have counts for
7 papers
SplatBus: A Gaussian Splatting Viewer Framework via GPU Interprocess Communication
Yinghan Xu, Théo Morales, John Dingliana
Radiance field-based rendering methods have attracted significant interest from the computer vision and computer graphics communities. They enable high-fidelity reconstruction with…
LayerGS: Decomposition and Inpainting of Layered 3D Human Avatars via 2D Gaussian Splatting
Yinghan Xu, John Dingliana
We propose a novel framework for decomposing arbitrarily posed humans into animatable multi-layered 3D human avatars, separating the body and garments. Conventional single-layer re…
Evaluating CrowdSplat: Perceived Level of Detail for Gaussian Crowds
Xiaohan Sun, Yinghan Xu, John Dingliana +1
Efficient and realistic crowd rendering is an important element of many real-time graphics applications such as Virtual Reality (VR) and games. To this end, Levels of Detail (LOD)…
CrowdSplat: Exploring Gaussian Splatting For Crowd Rendering
Xiaohan Sun, Yinghan Xu, John Dingliana +1
We present CrowdSplat, a novel approach that leverages 3D Gaussian Splatting for real-time, high-quality crowd rendering. Our method utilizes 3D Gaussian functions to represent ani…
Perceptually Optimized Color Selection for Visualization
Subhrajyoti Maji, John Dingliana
We propose an approach, called the Equilibrium Distribution Model (EDM), for automatically selecting colors with optimum perceptual contrast for scientific visualization. Given any…
An Acceleration Scheme for Memory Limited, Streaming PCA
Salaheddin Alakkari, John Dingliana
In this paper, we propose an acceleration scheme for online memory-limited PCA methods. Our scheme converges to the first eigenvectors in a single data pass. We provide empir…
Adaptive PCA for Time-Varying Data
Salaheddin Alakkari, John Dingliana
In this paper, we present an online adaptive PCA algorithm that is able to compute the full dimensional eigenspace per new time-step of sequential data. The algorithm is based on a…