BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Asia/Seoul X-LIC-LOCATION:Asia/Seoul BEGIN:STANDARD TZOFFSETFROM:+0900 TZOFFSETTO:+0900 TZNAME:KST DTSTART:18871231T000000 DTSTART:19881009T020000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230103T035348Z LOCATION:Room 325-AB\, Level 3\, West Wing DTSTART;TZID=Asia/Seoul:20221209T090000 DTEND;TZID=Asia/Seoul:20221209T103000 UID:siggraphasia_SIGGRAPH Asia 2022_sess176@linklings.com SUMMARY:Solids and Fluids DESCRIPTION:Technical Communications, Technical Papers, TOG\n\nThe present ations will be followed by a 30-min Interactive Discussion Session at Room 325-CD.\n\nThe Technical Papers program is the premier international foru m for disseminating new scholarly work in computer graphics and interactiv e techniques. Technical Papers are published as a special issue of ACM Tra nsactions on Graphics. In addition to papers selected by the SIGGRAPH Asia 2022 Technical Papers Jury, the conference presents papers that have been published in ACM Transactions on Graphics during the past year. Accepted papers adhere to the highest scientific standards.\n\nThe Technical Commun ications program is a premier forum for presenting the latest developments and research still in progress. Leading international experts in academia and industry present work that showcase actual implementations of researc h ideas, works at the crossroads of computer graphics with computer vision , machine learning, HCI, VR, CAD, visualization, and many others\n\nVersat ile Control of Fluid-Directed Solid Objects Using Multi-Task Reinforcement Learning\n\nRen, Ye, Pan, Zhang\n\nWe propose a new fluid control method combining meta reinforcement learning and multi task training, which reali ze a versatile fluid-directed solid objects controller that can quickly tr ansfer between fluid simulators with different parameters to accomplish se ries of sub-tasks by encoding the simula...\n\n---------------------\nA Hy brid Boundary Element and Boundary Integral Equation Method for Accurate D iffusion Curves\n\nBang, Serkh, Stein, Jacobson\n\nWe propose a boundary-o nly method which sample solution directly from the exact spline\nrepresent ation of boundary curves using the boundary integral equation method (BIEM ), and solve the associated integral equation.\n\n---------------------\nD ifferentiable Hybrid Traffic Simulation\n\nSon, Qiao, Sewall, Lin\n\nWe in troduce a novel differentiable hybrid traffic simulator, which simulates t raffic using a hybrid model of both macroscopic and microscopic models and can be directly integrated into a neural network for traffic control and flow optimization. This is the first differentiable traffic simulator for. ..\n\n---------------------\nElastoMonolith: A Monolithic Optimization-bas ed Liquid Solver for Contact-Aware Elastic-Solid Coupling\n\nTakahashi, Ba tty\n\nSimultaneous coupling of diverse physical systems poses significant computational challenges in terms of speed, quality, and stability. Rathe r than treating all components with a single discretization methodology (e .g., smoothed particles, material point method, Eulerian grid, etc.) that is ill-suit...\n\n---------------------\nHydrophobic and Hydrophilic Solid -Fluid Interaction\n\nLiu, Wang, Feng, Tang, Le...\n\nWe propose a novel s olid-fluid coupling method to capture the subtle hydrophobic and hydrophil ic interactions between liquid, solid, and air at their multi-phase juncti ons. The key component of our approach is a Lagrangian model that tackles the coupling, evolution, and equilibrium of dynamic contac...\n\n--------- ------------\nEfficient Neural Style Transfer for Volumetric Simulations\n \nAurand, Ortiz, Nauer, C. Azevedo\n\nArtistically controlling fluids has always been a challenging task. Recently, volumetric Neural Style Transfer (NST) techniques have been used to artistically manipulate smoke simulati on data with 2D images. In this work, we revisit previous volumetric NST t echniques for smoke, proposing a suite of ...\n\n---------------------\nMi xed Variational Finite Elements for Implicit Simulation of Deformables\n\n Trusty, Kaufman, Levin\n\nWe propose and explore a new method for the impl icit time integration of elastica. Key to our approach is the use of a mix ed variational principle. In turn, its finite element discretization leads to an efficient and accurate sequential quadratic programming solver with a superset of the desirable p...\n\n\nRegistration Category: FULL ACCESS, ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND END:VEVENT END:VCALENDAR