Shape Modeling International (SMI 2021) 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 (long and short papers) 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.
More information on topics, submission guidelines, and important dates are given below.
SMI 2021 will be an online conference in 2021.
The Fabrication and Sculpting Event FASE (2021) will be organized in co-location with SMI 2021. It presents original research at the intersection of theory and practice in shape modeling, fabrication and sculpting.
The symposium will take place from November 13th to 16th online. The day before we will have a workshop.
Full paper submission: Wednesday, June 30th, 2021
To authors: please start your submission to the journal and select VSI:SMI2021 BEFORE July 1 to meet the deadline. The PC chairs may allow for additional three days to make final changes.First review notification:
Papers should present previously unpublished, original results that are not simultaneously submitted elsewhere.
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 pdf file for the first round of submission. For format details, please refer to Computers & Graphics Guide for Authors.
The SMI 2021 conference will use a double-blind review process. Consequently, all submissions must be anonymous. All papers should be submitted directly via the journal online submission system of Computers & Graphics (click here). When submitting your paper to SMI 2021, please make sure that the type of article is specified as "VSI:SMI 2021”.To authors: please start your submission to the journal and select VSI:SMI2021 BEFORE July 1 to meet the deadline. The PC chairs may allow for additional three days to make final changes.
Any accepted paper is required to have at least one registered author to attend and present the paper at the conference. To register go to the registration link .
Shape Modeling International (SMI 2021) will have a workshop/panel that is called "Subdivision History Day" 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 us) can turn the collected information first into an article and later into a book. The article can potentially be published in Computers & Graphics. If this event becomes successful, we can also extend it to other fields in computer graphics or shape modeling.
More information will be provided soon.
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 decision will be announced two months before the conference. The Awards are presented at the Shape Modeling Conference and the award recipients are invited to give a keynote speech at Shape Modeling Conference. There will also be interviews with the recipients. The proposers will normally be responsible for the interviews, which will be published in the proceedings. Please send your nominations to the chair of award commiteee, Brian Wyvill: brianwyvill at gmail dot com, before September 5th, 2021. The award committee will announce the winner on Sept, 17th, 2021.
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 decision will be announced two months before the conference. 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. There will also be interviews with the recipients. The proposers will normally be responsible for the interviews, which will be published in the proceedings. Please send your nominations to the chair of award commiteee, Brian Wyvill: brianwyvill at gmail dot com, before September 5th, 2021. The award committee will announce the winner on Sept, 17th, 2021.
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
(logo design by Michela Mortara)
Bio: Siddhartha Chaudhuri is a Senior Research Scientist in the Creative Intelligence Lab at Adobe Research, and an Assistant Professor (on extended leave) of Computer Science and Engineering at IIT Bombay. He obtained his Ph.D. from Stanford University, and his undergraduate degree from IIT Kanpur. He subsequently did postdoctoral research at Stanford and Princeton, and taught at Cornell. Siddhartha's work combines geometric analysis, machine learning, and UI innovation to make sophisticated 3D geometric modeling accessible even to non-expert users. He also studies foundational problems in geometry processing (retrieval, segmentation, correspondences) that arise from this pursuit. His research themes include assembly-based modeling, semantic attributes for design, generative neural networks for shapes, and other applications of deep learning to 3D geometry processing. He is the original author of the commercial 3D character modeling tool Adobe Fuse, and the author of the open-source Thea toolkit for geometric computing.
Bio: Lining Yao is an Assistant Professor of Human-Computer Interaction Institute at Carnegie Mellon University (CMU), School of Computer Science, directing the Morphing Matter Lab. Lining also holds courtesy appointments at Mechanical Engineering and Material Sciences and Engineering at CMU. Morphing Matter lab develops processes, materials, tools, and applications of adaptive, dynamic, and intelligent morphing matter from nano to macro scales. Research often combines material science, computational fabrication, and creative design practices. The mission is to advance both science and society with the design of morphing matter. Lining and her lab work anti-disciplinarily, publishing and exhibiting across science, engineering, design, and art. Lining gained her Ph.D. from the MIT Media Lab. She is a Wired UK fellow, CMU Provost's Inclusive Teaching Fellow, and a recipient of the NSF CAREER Award.
Bio: Mélina Skouras is a permanent researcher in the ANIMA team at Inria Grenoble, France. Until October 2017, she was a postdoctoral associate at MIT where she worked with Prof. Wojciech Matusik on the computational design of meta-materials. She obtained her PhD in 2014 from the Computer Graphics Laboratory of ETH Zurich, Switzerland, where she collaborated with Disney Research Zurich. Her thesis focused on the development of novel algorithms for the design of custom deformable objects. She received her Master's degree in Computer Science and Applied Mathematics from ENSIMAG, INP Grenoble, France, in 2004. Before starting her PhD, she was a software developer at Dassault Systèmes, in the CATIA Geometric Modeler team.