SMI 2023 will be part of 3rd International Geometry Summit. Date & Location: July 3–7, 2023; Genova, Italy.
Shape Modeling International (SMI 2022) provides an international forum for the dissemination of new mathematical theories and computational techniques for modeling, simulating and processing digital representations of shapes and their properties to a community of researchers, developers, students, and practitioners across a wide range of fields. Conference proceedings will be published in a Special Issue of Computer & Graphics Journal, Elsevier. Papers presenting original research are being sought in all areas of shape modeling and its applications.
SMI also participates in the Replicability Stamp Initiative, an additional recognition for authors who are willing to go one step further, and in addition to publishing the paper, provide a complete open-source implementation. More information on topics, submission guidelines, and important dates are given below.
SMI 2022 will be co-located with Solid and Physical Modeling (SPM 2022) and the Fabrication and Sculpting Event (SCULPT). SCULPT will present original research at the intersection of theory and practice in shape modeling, fabrication and sculpting.
The symposium will take place from June 27th to 29th online.
March 8th March 12th, 2022
Full paper submission: March 15th, 2022
First review notification: April 10th, 2022
Revised papers: April 24th, 2022
Second review notification: May 3rd, 2022
Camera ready full papers due: May 10th, 2022
Conference: June 27th-29th, 2022
Papers should present previously unpublished, original results that are not simultaneously submitted elsewhere. Consequently, all submissions must be anonymous. All papers should be submitted using the easychair website.
Submissions should be formatted according to the style guidelines for the Computers &Graphics Journal and should not exceed 12 pages, including figures and references. We strongly recommend using the LaTeX template to format your paper. We also accept papers formatted by MS Word according to the style guidelines for Computers & Graphics. The file must be exported to a pdf file for the first round of submission. For format details, please refer to Computers & Graphics Guide for Authors. The SMI 2022 conference will use a double-blind review process.the registration page .
Shape Modeling International (SMI 2022) will have a workshop/panel that is called "The History of Implicit Surfaces". The goal is not only to discuss important milestones but also to introduce the human element behind the discoveries. Participants will tell us anecdotes providing insights behind the discoveries. We hope that a science historian or a popular science writer (or a few of speakers) can turn the collected information first into an article and later into a book.
The workshop is free to public. Please check the Registration page for registeration.
Shape Modeling International Awards Committee is seeking proposals to nominate the shape modeling researchers with distinguished careers for the Tosiyasu Kunii Award. The recipients of the award will be selected by the SMI Awards Committee, based on proposals from the research community in Shape Modeling. The proposals can simply be in a formal letter format. Self-nominations will also be considered. The nomination letters should provide a clear description of the substantial contributions of the candidate into the field of shape modeling. Nomination proposals can be accepted by the SMI awards committee at any time. The Awards are presented at the Shape Modeling Conference and the award recipients are invited to give a keynote speech at Shape Modeling Conference. Please send your nominations to the chair of award committee, Brian Wyvill , before May 1st, 2022.
Shape Modeling International Awards Committee is seeking proposals to nominate young researchers' significant contributions to shape modeling for the Shape Modeling International Young Researcher Award. Candidates must have received their Ph.D. degrees at most seven years ago. The recipients of the award will be selected by the SMI Awards Committee, based on proposals from the research community in Shape Modeling. The proposals can simply be in a formal letter format. Self-nominations will also be considered. The nomination letters should provide a clear description of the substantial contributions of the candidate into the field of shape modeling. Nomination proposals can be accepted by the SMI awards committee at any time. The Awards are presented at the Shape Modeling Conference and the award recipients are invited to give a keynote speech at the Shape Modeling Conference. Please send your nominations to the chair of award committee, Brian Wyvill , before May 1st, 2022.
SMI participates in the Replicability Stamp Initiative, an additional recognition for authors who are willing to go one step further, and in addition to publishing the paper, provide a complete open-source implementation. The Graphics Replicability Stamp Initiative (GRSI) is an independent group of volunteers who want to help the community by enabling sharing of code and data as a community resource for non-commercial use. The volunteers review the submitted code and certify its replicability, awarding a replicability stamp, which is an additional recognition for authors of accepted papers who are willing to provide a complete implementation of their algorithm, to replicate the results presented in their paper. The replicability stamp is not meant to be a measure of the scientific quality of the paper or of the usefulness of presented algorithms. Rather, it is meant to be an endorsement of the replicability of the results presented in it!
The paper and the recognition of the service provided to the community by releasing the code. Submissions for the replicability stamp will be considered only after the paper has been fully accepted. Submissions that are awarded the replicability stamp will receive additional exposure by being listed on this website. The purpose of this stamp is to promote reproducibility of research results and to allow scientists and practitioners to immediately benefit from state-of-the-art research results, without spending months re-implementing the proposed algorithms and trying to find the right parameter values. We also hope that it will indirectly foster scientific progress, since it will allow researchers to reliably compare with and to build upon existing techniques, knowing that they are using exactly the same implementation. This is an initiative supported by a growing list of publishers, journals, and conferences.
The submission procedure is lightweight (click here to see requirements) and we encourage the authors of accepted papers to participate by filling the form that they received in the acceptance letter. The papers with the replicability stamp will receive additional exposure during SMI, and will be listed on the replicability stamp website.
The qualified papers will be decorated with the
logo in the program.
(logo design by Michela Mortara)
The payment webpage will be closed on 23:59, June 20, 2022 (GMT+8).
For query about registration, please contact Ying He.
Abstract: Many applications of geometry processing involve realizing, or fabricating, a 3D model designed using a modeling software. While the realization mechanisms are quite varied, many of the underlying mathematical constraints that allow a seamless transition from modeling to the realization of 3D models are similar across domains. Often, these mechanisms involve meshing, where an idealized smooth surface is sampled using discrete building blocks, such as planar panels, thin wires, or yarn stitches. In this talk we will survey the challenges of mesh realization using different materials, present solutions using discrete tangent vector fields, and demonstrate them in different applications.
Bio: Prof. Ben-Chen is an Associate Professor at the Center for Graphics and Geometric Computing of the CS Department at the Technion. She has received her Ph.D. from the Technion in 2009, was a Fulbright postdoc at Stanford from 2009-2012, and then started as an Assistant Prof. at the Technion in 2012. Prof. Ben Chen is interested in modeling and understanding the geometry of shapes. She uses mathematical tools, such as discrete differential geometry, numerical optimization and harmonic analysis, for applications such as animation, shape analysis, fluid simulation on surfaces and computational fabrication. Prof. Ben Chen has won an ERC Starting grant, the Henry Taub Prize for Academic Excellence, the Science Prize of the German Technion Society and multiple best paper awards.
Abstract: This keynote, motivated by the rapid growth in large-scale 3D concrete printing (3DCP), addresses the current lack of both computational design tools and integrated design-to-production (DTP) solutions for this fabrication technology. It is guided by a novel insight regarding the applicability of design and analysis methods developed for unreinforced masonry to large-scale, layered 3D printing with materials favouring compression such as concrete. As an example, the lecture will present the custom toolchain that enabled the integration of shape-design, structural engineering, and robotic concrete printing for the design, production, and construction of Striatus, a discrete, dry-assembled, fully unreinforced masonry foot bridge.
Bio: Prof. Dr. Philippe Block is a full professor at and head of the Institute of Technology in Architecture (ITA) at ETH Zurich, where he co-leads the Block Research Group (BRG) with Dr. Tom Van Mele. He studied architecture and structural engineering at the Vrije Universiteit Brussel (VUB) in Belgium and at the Massachusetts Institute of Technology (MIT) in the US, where he earned his PhD in 2009.
Bio: Shajay Bhooshan is an Associate Director at Zaha Hadid Architects where he co-founded and heads the Computation and Design research group (ZHACODE). Shajay pursues his interests in manufacturing and structurally informed design technologies as a PhD candidate at the Block Research Group (BRG) at the ETH, Zurich and previously, as a M.Phil graduate from University of Bath, UK.
Bio: Marie-Paule Cani is a Professor of Computer Science at Ecole Polytechnique. Her research interests cover Shape Modelling and Computer Animation. She contributed over the years to a number of high level models for shapes and motion such as implicit surfaces, multi-resolution physically-based animation methods and hybrid representations for real-time natural scenes. Following a long lasting interest for virtual sculpture, she has been searching for more expressive ways to create 3D contents such as combining sketch-based interfaces with procedural models based on priors or learning. She received the Eurographics outstanding technical contributions award in 2011, a Silver medal from CNRS in 2012, and joined the Academia Europaea in 2013. She was awarded the ERC advanced grant EXPRESSIVE (2012-2017). She was elected at the ACM Siggraph Academy and at the French Academy of Sciences in 2019.
Marie-Paule Cani was the Technical Paper Chair of ACM SIGGRAPH 2017, and program co-chair of Motion, Interaction and Games (MIG) in 2019, after chairing programs in a number of other conferences. She served in the steering committees of SMI, SCA and Expressive (SBIM), and in the editorial boards of ACM Transactions of Graphics (TOG), Computer Graphics Forum, IEEE TVCG, Graphical Models and Computers and Graphics. She was Director at Large in the EC of ACM SIGGRAPH (2007-2011), and member of the ACM Publication Board (2011-2014). She was President of the Eurographics association in 2017 and 2018, and received the Eurographics Distinguished Career Award in 2022.
Abstract: Visual representations are essential in science, as they facilitate intuition and ease communication. While the 2D sketches used for centuries recently evolved into 3D contents, the latter are generally not responsive: they do not allow scientists to interact with their models, change hypotheses on the fly and experiment their effects. In this talk, we explore the use of smart 3D environments as visual testbeds in science. We show that a combination of efficient procedural models expressing knowledge, expressive sculpting or sketching interfaces, and learning mechanisms, can help to reach this goal. We illustrate this through a variety of examples, from sculpting eroding mountains that express geological knowledge to helping prehistorians explore past ecosystems with flora and animated fauna.
Bio: Teseo Schneider is an Assistant Professor in Computer Science at the Univerity of Victoria, Canada. Teseo earned his Ph.D. in Computer Science from the Universita della Svizzera italiana (2017) with the thesis entitled "Theory and Applications of Bijective Barycentric Mappings." He earned a PostdocMobility fellowship from the Swiss National Science Foundation (SNSF) to pursue his research at the Courant Institute of Mathematical Science at the New York University, aiming to bridge physical simulations and geometry. His research interests are in finite element simulations, mathematics, discrete differential geometry, and geometry processing. Teseo is the leading developer of PolyFEM, a flexible and easy-to-use Finite Element Library. He is one of the maintainers of libigl and a contributor to wild meshing, a 2D and 3D robust meshing library.
Abstract: The finite element method (FEM) is the most commonly used discretization of PDEs due to its generality and rich selection of off-the-shelf commercial implementations. Ideally, a PDE solver should be a "black-box": the user provides as input the domain's boundary, the boundary conditions, and the governing equations, and the code returns an evaluator that can compute the value of the solution at any point of the input domain. This is surprisingly far from being the case for all existing open-source or commercial software, despite the many research efforts in this direction and the sustained interest from academia and industry. To a large extent, this issues from treating meshing (and geometry more in general) and FEM basis construction as two disjoint problems. The FEM basis construction may make a seemingly innocuous assumption (e.g., on the geometry of elements), leading to exceedingly difficult requirements for meshing software. This state of matters presents a fundamental problem for all applications, and is even more problematic in applications that require fully automatic, robust processing of large collections of meshes. We present recent advancements towards an integrated pipeline, considering meshing and element design as a unique challenge, leading thus to a black-box pipeline, without any parameter tuning.