Abstract: The present disclosure provides a random particle generation method based on particle size distribution, which can accord with the particle size distribution characteristics of a geological structure. According to this method, random particle generation is adopted, so that a common spherical structure is avoided, and a generated particle structure is very similar to a real soil structure. Based on actual particle size distribution, particles with different particle sizes are generated by batch generation, particle seeds are generated at random pore locations, and particles are generated based on the seeds. By providing a random particle generation method based on particle size distribution, a soil structure in a form of porous media can be restored by means of simulation, which thus provides a porous medium model for the research of groundwater infiltration and fossil energy exploitation.

Abstract: In one implementation, a method of generating a depth map is performed by a device including one or more processors and non-transitory memory. The method includes obtaining a first mesh of a physical environment and a second mesh of the physical environment. The method includes rendering a first depth map for an image of the physical environment based on the first mesh and a second depth map for the image of the physical environment based on the second mesh. The method includes generating a blended depth map based on the first depth map, the second depth map, and a difference between a time of the image of the physical environment and a time of the second mesh.

Abstract: The present disclosure provides a random particle generation method based on particle size distribution, which can accord with the particle size distribution characteristics of a geological structure. According to this method, random particle generation is adopted, so that a common spherical structure is avoided, and a generated particle structure is very similar to a real soil structure. Based on actual particle size distribution, particles with different particle sizes are generated by batch generation, particle seeds are generated at random pore locations, and particles are generated based on the seeds. By providing a random particle generation method based on particle size distribution, a soil structure in a form of porous media can be restored by means of simulation, which thus provides a porous medium model for the research of groundwater infiltration and fossil energy exploitation.