2023
XProtoSphere: an eXtended multi-sized sphere packing algorithm driven by particle size distribution
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
The Visual Computer 2023
We propose a novel PSD-driven technique that extends the ProtoSphere algorithm to achieve multi-sized sphere packing with distribution-specific characteristics, as dictated by a pre-defined cumulative distribution function. Our method improves the controllability and flexibility of the packing process, enabling users to generate packing configurations that meet their specific requirements.
XProtoSphere: an eXtended multi-sized sphere packing algorithm driven by particle size distribution
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
The Visual Computer 2023
We propose a novel PSD-driven technique that extends the ProtoSphere algorithm to achieve multi-sized sphere packing with distribution-specific characteristics, as dictated by a pre-defined cumulative distribution function. Our method improves the controllability and flexibility of the packing process, enabling users to generate packing configurations that meet their specific requirements.
2022
Multi-Sized Particle Sampling Method Based on Porosity Optimization in 2D Space
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
IIEEJ Transactions on Image Electronics and Visual Computing 2022
This paper introduces a novel approach for multi-sized particle sampling in 2D space, utilizing porosity optimization to enhance particle distribution and packing efficiency.
Multi-Sized Particle Sampling Method Based on Porosity Optimization in 2D Space
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
IIEEJ Transactions on Image Electronics and Visual Computing 2022
This paper introduces a novel approach for multi-sized particle sampling in 2D space, utilizing porosity optimization to enhance particle distribution and packing efficiency.
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
VC+VCC2022 2022
This paper presents an invited lecture on the visual simulation of soil-structure destruction with seepage flows, showcasing advanced techniques in computer graphics and physical simulations.
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
VC+VCC2022 2022
This paper presents an invited lecture on the visual simulation of soil-structure destruction with seepage flows, showcasing advanced techniques in computer graphics and physical simulations.
2021
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
Proceedings of the ACM on Computer Graphics and Interactive Techniques 2021
This paper introduces a method for simulating soil-structure coupling with water, involving visual effects such as wet granular materials, seepage flows, capillary action between grains, and dam breaking simulation.
Visual Simulation of Soil-Structure Destruction with Seepage Flows
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
Proceedings of the ACM on Computer Graphics and Interactive Techniques 2021
This paper introduces a method for simulating soil-structure coupling with water, involving visual effects such as wet granular materials, seepage flows, capillary action between grains, and dam breaking simulation.
2020
Two-dimensional multi-size particle sampling based on minimum porosity
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
画像電子学会第297回研究会 2021
This study explores an innovative approach to two-dimensional multi-size particle sampling, focusing on achieving minimum porosity for optimal particle distribution.
Two-dimensional multi-size particle sampling based on minimum porosity
Xu Wang, Makoto Fujisawa, Masahiko Mikawa
画像電子学会第297回研究会 2021
This study explores an innovative approach to two-dimensional multi-size particle sampling, focusing on achieving minimum porosity for optimal particle distribution.
2018
昼間の都市俯瞰画像からの夜景画像の生成
Xu Wang, Taichi Watanabe, Kakimoto Masanori
画像電子学会誌 2019
This study presents a novel approach to generate nighttime urban landscape img from daytime panoramic city views, enhancing visual representation techniques in image processing.
昼間の都市俯瞰画像からの夜景画像の生成
Xu Wang, Taichi Watanabe, Kakimoto Masanori
画像電子学会誌 2019
This study presents a novel approach to generate nighttime urban landscape img from daytime panoramic city views, enhancing visual representation techniques in image processing.
A Data-Driven Method for Reproducing Artificial Light Sources in Night View Style Transfer Based on Luminance Map
Xu Wang, Taichi Watanabe, Kakimoto Masanori
IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2019) 2019
This paper proposes a data-driven approach to reproduce artificial light sources in night view style transfer, utilizing luminance maps to enhance the realism of transformed img.
A Data-Driven Method for Reproducing Artificial Light Sources in Night View Style Transfer Based on Luminance Map
Xu Wang, Taichi Watanabe, Kakimoto Masanori
IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2019) 2019
This paper proposes a data-driven approach to reproduce artificial light sources in night view style transfer, utilizing luminance maps to enhance the realism of transformed img.