Year: 2019

Energy-based dissolution simulation using SPH sampling

A novel unified particle-based method is proposed for real-time dissolution simulation that is fast, predictable, independent of sampling resolution, and visually plausible. The dissolution model is derived from collision theory and integrated into a smoothed particle hydrodynamics fluid solver. Dissolution occurs when a solute is submerged in solvent. Physical laws […]

Semantic Modeling of Indoor Scenes with Support Inference from a Single Photograph

We present an automatic approach for semantic modeling of indoor scenes based on a single photograph, instead of relying on RGB-D cam- eras. Without using hand-crafted features, we guide indoor scene modeling with feature maps extracted by Fully Convolutional Networks (FCNs). Three parallel FCNs are adopted to generate object instance […]

Efficient and realistic character animation through analytical physics-based skin deformation

Physics-based skin deformation methods can greatly improve the realism of character animation, but require non- trivial training, intensive manual intervention, and heavy numerical calculations. Due to these limitations, it is generally time-consuming to implement them, and difficult to achieve a high runtime efficiency. In order to tackle the above limitations […]

Hybrid Integration of Euclidean and Geodesic Distance-Based RBF Interpolation for Facial Animation

Simulating believable facial animation is a topic of increasing interest in computer graphics and visual effects. In this paper we present a hybrid technique for the generation of facial animation based on motion capture data. After capturing a range of facial expressions defined by Facial Action Coding System (FACS), the […]