Publications by authors named "Peng Shuai Wang"
Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applications such as geometric processing, simulation, fabrication, learning, and synthesis. In this work, by assuming the model is visually correct, we first introduce three visual measures for visibility, orientation, and openness, based on ray-tracing.
View Article and Find Full Text PDFNeural-IMLS: Self-Supervised Implicit Moving Least-Squares Network for Surface Reconstruction.
IEEE Trans Vis Comput Graph
August 2024
Article Synopsis
- Surface reconstruction can be tough when working with noisy point clouds lacking normals, but the new approach called Neural-IMLS effectively learns a noise-resistant signed distance function from raw data in a self-supervised way.
- Neural-IMLS combines the strengths of Multilayer Perceptrons (MLPs) and implicit moving least-square functions (IMLS) to enhance surface representation, allowing for better geometric detail and sharp features.
- Experiments show that Neural-IMLS successfully reconstructs accurate shapes from noisy and incomplete data, and the source code is available online for further exploration.
Article Synopsis
- - The study explores the potential of using CRISPR/Cas9 and induced pluripotent stem cells (iPSCs) as a treatment for Charcot-Marie-Tooth disease (CMT), a neurological condition that currently has no effective clinical treatment.
- - Researchers reprogrammed skin fibroblasts from CMT type 2D patients to create iPSCs and successfully repaired a specific genetic mutation responsible for the disease using CRISPR/Cas9 technology.
- - The successful generation of genetically corrected iPSCs lays the groundwork for future treatments, suggesting a promising direction for developing autologous cell therapies for degenerative neurological diseases like CMT.
Voxel-based 3D convolutional neural networks (CNNs) have been applied to predict protein-ligand binding affinity. However, the memory usage and computation cost of these voxel-based approaches increase cubically with respect to spatial resolution and sometimes make volumetric CNNs intractable at higher resolutions. Therefore, it is necessary to develop memory-efficient alternatives that can accelerate the convolutional operation on 3D volumetric representations of the protein-ligand interaction.
View Article and Find Full Text PDFThis research was conducted to unravel the variation of oxygen consumption rate during different developmental stages and the effects of different ecological factors on embryonic oxygen consumption rate of Sepia pharaonis. The oxygen consumption rates were measured at twelve deve-lopmental stages by the sealed volumetric flasks, and four embryonic developmental periods (oosperm, gastrula, the formation of organization, endoskeleton) were selected under various ecological conditions, such as salinity (21, 24, 27, 30, 33), water temperature (18, 21, 24, 27, 30 ℃) and pH (7.0, 7.
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