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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023309Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241203T144500
DTEND;TZID=Asia/Tokyo:20241203T155500
UID:siggraphasia_SIGGRAPH Asia 2024_sess106@linklings.com
SUMMARY:Modeling and PDEs
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nProjected Walk on Spheres: A Monte Carlo Closest Point Method for Surf
 ace PDEs\n\nWe present projected walk on spheres (PWoS), a novel pointwise
  and discretization-free Monte Carlo solver for surface PDEs with Dirichle
 t boundaries, as a generalization of the walk on spheres method (WoS)  [Mu
 ller 1956; Sawhney and Crane 2020]. We adapt the recursive relationship of
  WoS designed fo...\n\n\nRyusuke Sugimoto, Nathan King, Toshiya Hachisuka,
  and Christopher Batty (University of Waterloo)\n---------------------\nTe
 xt-guided Controllable Mesh Refinement for Interactive 3D Modeling\n\nWe p
 ropose a novel technique for adding geometric details to an input coarse 3
 D mesh guided by a text prompt. Our method is composed of three stages. Fi
 rst, we generate a single-view RGB image conditioned on the input coarse g
 eometry and the input text prompt. This single-view image generation step 
 ...\n\n\nYun-Chun Chen and Selena Ling (University of Toronto); Zhiqin Che
 n, Vladimir G. Kim, and Matheus Gadelha (Adobe Research); and Alec Jacobso
 n (University of Toronto)\n---------------------\nSolving Inverse PDE Prob
 lems using Grid-Free Monte Carlo Estimators\n\nPartial differential equati
 ons can model diverse physical phenomena including heat diffusion, incompr
 essible flows, and electrostatic potentials. Given a description of an obj
 ect's boundary and interior, traditional methods solve such PDEs by densel
 y meshing the interior and then solving a large and...\n\n\nEkrem Fatih Yi
 lmazer (EPFL), Delio Vicini (Google Inc.), and Wenzel Jakob (EPFL)\n------
 ---------------\nI❤️MESH: A DSL for Mesh Processing\n\nMesh processing alg
 orithms are often communicated via concise mathematical notation (e.g., su
 mmation over mesh neighborhoods). However, conversion of notation into wor
 king code remains a time-consuming and error-prone process, which requires
  arcane knowledge of low-level data structures and librarie...\n\n\nYong L
 i (South China University of Technology, George Mason University); Shoaib 
 Kamil (Adobe Research); Keenan Crane (Carnegie Mellon University); Alec Ja
 cobson (University of Toronto, Adobe Research); and Yotam Gingold (George 
 Mason University)\n---------------------\nDifferential Walk on Spheres\n\n
 We introduce a Monte Carlo method for computing derivatives of the solutio
 n to a partial differential equation (PDE) with respect to problem paramet
 ers (such as domain geometry or boundary conditions). Derivatives can be e
 valuated at arbitrary points, without performing a global solve or constru
 ctin...\n\n\nBailey Miller (Carnegie Mellon Uniersity), Rohan Sawhney (NVI
 DIA), and Keenan Crane and Ioannis Gkioulekas (Carnegie Mellon Uniersity)\
 n---------------------\nDiffCSG: Differentiable CSG via Rasterization\n\nD
 ifferentiable rendering is a key ingredient for inverse rendering and mach
 ine learning, as it allows to optimize scene parameters (shape, materials,
  lighting) to best fit target images. Differentiable rendering requires th
 at each scene parameter relates to pixel values through differentiable ope
 rat...\n\n\nHaocheng Yuan (University of Edinburgh); Adrien Bousseau (Inri
 a Sophia-Antipolis, Université Côte d’Azur); Hao Pan (Microsoft Research A
 sia); Quancheng Zhang (Nanjing University); Niloy J. Mitra (University Col
 lege London (UCL), Adobe Research); and Changjian Li (University of Edinbu
 rgh)\n\nRegistration Category: Full Access, Full Access Supporter\n\nLangu
 age Format: English Language\n\nSession Chair: Yonghao Yue (Aoyama Gakuin 
 University)
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