Jiating Chen

TL;DR: An efficient adaptive depth‐of‐field rendering algorithm that achieves noise‐free results using significantly fewer samples and uses a novel multiscale reconstruction filter to dramatically reduce the noise in the defocused areas where the sampled radiance has high variance.

TL;DR: A novel framework that uses the hardware tessellation support on the graphics processing unit (GPU) for surface voxelization for superior performance and can be implemented with simple shader programming, making it readily applicable to a number of real-time applications where both development and runtime efficiencies are of concern.

TL;DR: A novel algorithm for synthesizing high quality solid textures from 2D exemplars is presented, which adopts an optimization framework with the k-coherence search and the discrete solver for solid texture synthesis, and is integrated with a new kind of histogram matching, Position Histogram Matching.

TL;DR: The key idea is a general formulation to modulate the traditional sample distance measures, which are determined by sample position in spatial domain, with a similarity measure that considers arbitrary per sample attributes, which leads to the notion of bilateral blue noise whose properties are influenced by not only the uniformity of the sample positions but also the similarity of thesample attributes.