Shape Modeling International (SMI 2024) 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'2024 took place from July 12th to 14th, in Detroit, Michigan, USA.
The conference was held at the Wayne State University. The exact location is as follows.
Danto Engineering Development Center
5050 Anthony Wayne
Detroit, MI 48202
Location map: https://maps.wayne.edu/view/danto-engineering
Abstract submission: March 25, March 29, 2024
Full paper submission: March 29, April 2, 2024
First review notification: May 6, 2024
Revised papers: May 20, 2024
Second review notification: June 10, 2024
Camera-ready full papers due: June 24, 2024
Conference: July 12-14, 2024
Submissions should be anonymous, via easychair, previously unpublished, original results that are not simultaneously submitted elsewhere.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 a pdf file for the first round of submission. For format details, please refer to Computers & Graphics Guide for Authors. The SMI 2024 conference will use a double-blind review process.
Any accepted paper is required to have at least one registered author to attend and present the paper at the conference.Shape Modeling International Awards Committee is seeking proposals to nominate the shape modeling researchers with distinguished careers for the Tosiyasu L. Kuni Distinguished Researcher 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: Bianca Falcidieno.
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: Bianca Falcidieno.
Shape Modeling International Awards Committee is seeking proposals to nominate people who made significant contributions to the organization of SMI conferences for the Alexander Pasko Service Award. The recipients of the award will be selected by the SMI Awards Committee, based on nominations from the Shape Modeling community. The nominations 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 service contributions of the candidate to SMI. 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 the award committee: Bianca Falcidieno.
| Registration Fees | (Early Bird) Until June 12 |
(Normal) After June 12 |
|---|---|---|
| Full ACM/IEEE/EG member | $495 USD | $595 USD |
| Student ACM/IEEE/EG member | $345 USD | $445 USD |
| Full Registration | $545 USD | $645 USD |
| Student | $395 USD | $495 USD |
Date: July 12 2024
Abstract: The creation of 3D shapes is a pivotal task in shape modeling, traditionally approached through interactive modeling or image and sketch-based reconstruction. Recent advancements in machine learning have introduced novel and potent methods for generating 3D shapes. This talk will begin by discussing our latest neural techniques for reconstructing 3D shapes from multiple images or videos. I will then delve into several recent works on generating 3D shapes using diffusion models and language models from a single image or text prompts as input. To conclude, I will discuss emerging techniques, including the use of Gaussian splatting, which show promise in effectively addressing diverse challenges in 3D shape and scene modeling.
Bio: Dr. Wenping Wang is a Professor of Computer Science and Engineering at Texas A&M University. He works in the areas of computer graphics, computer vision and geometric computing, and has published over 300 papers in these areas. Dr. Wang has delivered 45 invited conference talks and chaired over 20 international conferences. He received the John Gregory Memorial Award, the Tosiyasu Kunii Award, and the Bézier Award for contributions in geometric computing and shape modeling. He is an ACM Fellow and IEEE Fellow.
Date:July 13 2024
Abstract: Recent advances on neural fields have propelled the development of low-level rendering primitives such as NeRFs and 3D Gaussian splats, but they are not effective modeling primitives. In the world of 3D shape modeling, especially CAD modeling, the abilities to offer structured reasoning, semantic manipulation, as well as controllability and reusability, are all in demand. The constructive nature of CAD models makes it natural to build and reason about them in terms of higher-level primitives and their relations rather than at the point/voxel level. In this talk, I will first go over a series of works which evolved from learning coordinate-based neural implicit fields to differentiable assembly of plane, and then quadric, primitives via constructive solid geometry (CSG), and finally a differentiable rendering approach to remove 3D supervision. However, CSG assemblies are non-unique when subjected to reconstruction losses. To the end, I will present a new method which learns to construct a spatial (e.g., Voronoi) partitioning first before primitive fitting. Finally, I want to bring attention to the interior reconstruction problem and offer a few promising avenues for future research.
Bio: Hao (Richard) Zhang is a professor in the School of Computing Science at Simon Fraser University, Canada. He is a Fellow of the IEEE, holds a Distinguished University Professorship, and is an Amazon Scholar. Richard earned his Ph.D. from the University of Toronto, and MMath and BMath degrees from the University of Waterloo. His research is in computer graphics and visual computing with special interests in geometric modeling, shape analysis, 3D vision, geometric deep learning, as well as computational design and fabrication. Awards won by Richard include a Canadian Human-Computer Communications Society Achievement Award in Computer Graphics (2022), a Google Faculty Award (2019), a National Science Foundation of China Overseas Outstanding Young Researcher Award (2015), an NSERC Discovery Accelerator Supplement Award (2014), a Best Dataset Award from ChinaGraph (2020), as well as faculty grants/gifts from Adobe, Autodesk, Google, and Huawei. He and his students have won the CVPR 2020 Best Student Paper Award and Best Paper Awards at SGP 2008 and CAD/Graphics 2017. Richard has served as an editor-in-chief for Computer Graphics Forum, an associate editor-in-chief for IEEE Computer Graphics & Applications (CG&A), and an associate editor for ACM Transactions on Graphics, IEEE Trans. on Visualization and Graphics, Graphical Models, among others. He has served on the Program Committees or as Area Chairs for major conferences in both computer graphics and vision. He is SIGGRAPH Asia 2024 Technical Papers Assistant Chair, SIGGRAPH Asia 2014 course chair, a paper co-chair for SGP 2013, GI 2015, and CGI 2018, and a conference chair for International Geometry Summit 2019. Richard will be the Technical Papers Chair for SIGGRAPH 2025.
