This article presents a novel and flexible bubble modelling technique for multi-fluid simulations using a volume fraction representation. By combining the volume fraction data obtained from a primary multi-fluid simul...This article presents a novel and flexible bubble modelling technique for multi-fluid simulations using a volume fraction representation. By combining the volume fraction data obtained from a primary multi-fluid simulation with simple and efficient secondary bubble simulation, a range of real-world bubble phenomena are captured with a high degree of physical realism, including large bubble deformation,sub-cell bubble motion, bubble stacking over the liquid surface, bubble volume change, dissolving of bubbles,etc. Without any change in the primary multi-fluid simulator, our bubble modelling approach is applicable to any multi-fluid simulator based on the volume fraction representation.展开更多
Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the bod...Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the body and realism of demonstrations.We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable.For each,we describe the problem,introduce state-of-the-art approaches,and provide future directions.展开更多
Realistic animation of various interactions between multiple fluids, possibly undergoing phase change, is a challenging task in computer graphics. The visual scope of multi-phase multi-fluid phenomena covers complex t...Realistic animation of various interactions between multiple fluids, possibly undergoing phase change, is a challenging task in computer graphics. The visual scope of multi-phase multi-fluid phenomena covers complex tangled surface structures and rich color variations, which can greatly enhance visual effect in graphics applications. Describing such phenomena requires more complex models to handle challenges involving the calculation of interactions, dynamics and spatial distribution of multiple phases, which are often involved and hard to obtain real-time performance. Recently, a diverse set of algorithms have been introduced to implement the complex multi-fluid phenomena based on the governing physical laws and novel discretization methods to accelerate the overall computation while ensuring numerical stability. By sorting through the target phenomena of recent research in the broad subject of multiple fluids, this state-of-the-art report summarizes recent advances on multi-fluid simulation in computer graphics.展开更多
Following the success of the past eight years,Tsinghua University Press has continued to sponsor an annual award for the best papers published in Computational Visual Media.Eight papers in 2023 from Computational Visu...Following the success of the past eight years,Tsinghua University Press has continued to sponsor an annual award for the best papers published in Computational Visual Media.Eight papers in 2023 from Computational Visual Media were recommended by Associate Editors as candidate papers for the Best Paper Award.Associate Editors-in-Chief Ming C.Lin and Ralph Martin led the Best Paper Award Committee to select the Best Paper.After careful deliberation,the following paper was chosen with the unanimous consensus as the winner.展开更多
Following the success of the past seven years,Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media.Ten papers in 2022 from Computational Visual...Following the success of the past seven years,Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media.Ten papers in 2022 from Computational Visual Media were recommended by Associate Editors as candidate papers for the Best Paper Award.Associate Editor-in-Chief Ming C.Lin selected and led the Best Paper Award Committee,after other Editorial Board Members recused themselves.After careful deliberation,the following paper was chosen as the winner,on the basis of its intellectual merit and potential impact。展开更多
Following the success of the past six years, Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media. Eleven papers in 2021 from Computational Vis...Following the success of the past six years, Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media. Eleven papers in 2021 from Computational Visual Media were recommended by the associate editors as candidate papers for the Best Paper Award.展开更多
基金supported by the National High Technology Research and Development Program of China (No. 2013AA013903)the National Natural Science Foundation of China (No. 61120106007)+3 种基金Research Grant of Beijing Higher Institution Engineering Research CenterTsinghua University Initiative Scientific Research Programsupported in part by the U.S. National Science Foundationthe University of North Carolina Arts & Sciences Foundation
文摘This article presents a novel and flexible bubble modelling technique for multi-fluid simulations using a volume fraction representation. By combining the volume fraction data obtained from a primary multi-fluid simulation with simple and efficient secondary bubble simulation, a range of real-world bubble phenomena are captured with a high degree of physical realism, including large bubble deformation,sub-cell bubble motion, bubble stacking over the liquid surface, bubble volume change, dissolving of bubbles,etc. Without any change in the primary multi-fluid simulator, our bubble modelling approach is applicable to any multi-fluid simulator based on the volume fraction representation.
基金This research was supported in part by the Iribe Professorship and the National Science Foundation.
文摘Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits.However,their development is limited by practical constraints,such as accurate sizing of the body and realism of demonstrations.We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable.For each,we describe the problem,introduce state-of-the-art approaches,and provide future directions.
基金supported by the National Key Research and Development Program of China under Grant No.2017YFB1002701the National Natural Science Foundation of China under Grant No.61602265.
文摘Realistic animation of various interactions between multiple fluids, possibly undergoing phase change, is a challenging task in computer graphics. The visual scope of multi-phase multi-fluid phenomena covers complex tangled surface structures and rich color variations, which can greatly enhance visual effect in graphics applications. Describing such phenomena requires more complex models to handle challenges involving the calculation of interactions, dynamics and spatial distribution of multiple phases, which are often involved and hard to obtain real-time performance. Recently, a diverse set of algorithms have been introduced to implement the complex multi-fluid phenomena based on the governing physical laws and novel discretization methods to accelerate the overall computation while ensuring numerical stability. By sorting through the target phenomena of recent research in the broad subject of multiple fluids, this state-of-the-art report summarizes recent advances on multi-fluid simulation in computer graphics.
文摘Following the success of the past eight years,Tsinghua University Press has continued to sponsor an annual award for the best papers published in Computational Visual Media.Eight papers in 2023 from Computational Visual Media were recommended by Associate Editors as candidate papers for the Best Paper Award.Associate Editors-in-Chief Ming C.Lin and Ralph Martin led the Best Paper Award Committee to select the Best Paper.After careful deliberation,the following paper was chosen with the unanimous consensus as the winner.
文摘Following the success of the past seven years,Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media.Ten papers in 2022 from Computational Visual Media were recommended by Associate Editors as candidate papers for the Best Paper Award.Associate Editor-in-Chief Ming C.Lin selected and led the Best Paper Award Committee,after other Editorial Board Members recused themselves.After careful deliberation,the following paper was chosen as the winner,on the basis of its intellectual merit and potential impact。
文摘Following the success of the past six years, Tsinghua University Press will continue to sponsor an annual award for the best papers published in Computational Visual Media. Eleven papers in 2021 from Computational Visual Media were recommended by the associate editors as candidate papers for the Best Paper Award.
