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About SMI
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 Computers & 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.
When and Where
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
SMI2024: Submitting a Paper
IMPORTANT DATES (tentative) (23:59 UTC/GMT)
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
Topics
- AR/VR environments
- Acquisition and reconstruction
- Behavior and animation models
- Compression and streaming
- Computational topology
- Correspondence and registration
- Curves and surfaces
- Digital fabrication and 3D printing
- Geometric Deep Learning
- Exploration of shape collections
- Feature extraction and classification
- Healing and resampling
- Implicit surfaces
- Interactive modeling, design and editing
- Learning techniques for shape modeling
- Medial and skeletal representations
- Parametric and procedural models
- Segmentation
- Semantics of shapes
- Shape analysis and synthesis
- Shape modeling applications (product design, biomedicine, GIS, geoscience, art, education and training, cultural heritage, gaming, and others)
- Shape statistics
- Shape transformation and deformation
- Simulation
- Sketching and 3D input modalities
- Triangle and polygonal meshes
- 3D Digital Twins
- 3D retrieval
Submission
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.Call For Nominations:
Tosiyasu L. Kuni Distinguished Researcher Award
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.
Call For Nominations:
SMI Young Investigator Award
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.
Call For Nominations:
Alexander Pasko Service Award
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
- Registration Fee:
Registration Fees (Early Bird)
Until June 12(Normal)
After June 12Full 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 - Registration Policy: To ensure inclusion in the final technical program and the Computer & Graphics journal special issue, at least one author per accepted submission must register and complete payment by June 12, 2024. Separate registrations are required for each accepted submission. Any registration category—student, member, or full—fulfills this requirement. Authors with multiple presentations should arrange for a co-author to register. Student registration is exclusively for full-time undergraduate and graduate students who have not obtained their Ph.D. Post-doctoral researchers are ineligible for student rates. Student IDs must be presented on site. Registration grants access to all keynotes, technical sessions, and social events, including refreshments, a reception, and the banquet. Additional banquet tickets are available for purchase at $160 each, which can be purchased at the registration desk on July 12th. Cancellation requests must be submitted in writing by June 19, 2024, and will incur a $100 processing fee. No refunds will be issued after this date. Registration is non-transferable and cannot be substituted.
- Registration site: https://commerce.cashnet.com/1spevents?cname=SMIC
- Hotel information: link
SMI 2024 Program
Keynotes
Neural Reconstruction and Generation of 3D Shapes
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.
Learning Differentiable Primitive Representations for CAD Shape Modeling
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.
Technical Paper Chairs
Communication Chairs
International Program Committee
- Valery Adzhiev (Bournemouth University)
- Gill Barequet (Technion Israel Institute of Technology)
- Loic Barthe (Université de Toulouse)
- Alexander Belyaev (Heriot-Watt University)
- Pengbo Bo (Harbin Institute of Technology)
- Marcel Campen (Osnabrück University)
- Juan Cao (Xiameng University)
- Chiara Eva Catalano (IMATI)
- Raphaelle Chaine (Université of Lyon)
- Zhonggui Chen (Xiameng University)
- Renjie Chen (University of Science and Technology of China)
- Edward Chien (MIT)
- Jeremie Dumas (Adobe Research)
- Ye Duan (University of Missouri)
- Gershon Elber (Technion Israel Institute of Technology)
- Bianca Falcidieno (CNR-IMATI)
- Leila De Floriani (University of Maryland)
- Hongbo Fu (City University of Hong Kong)
- Xiaoming Fu (University of Science and Technology of China)
- Eric Galin (University of Lyon)
- Lin Gao (Chinese Academy of Sciences)
- Yotam Gingold (George Mason University)
- Daniela Giorgi (ISTI-CNR)
- Eric Guerin (INSA de Lyon)
- Jianwei Guo (Chinese Academy of Sciences)
- Xiaohu Guo (The University of Texas at Dallas)
- Stefanie Hahmann (INRIA)
- Fazhi He (Wuhan University)
- Ying He (Nanyang Technological University)
- Franck Hetroy-Wheeler (University of Strasbourg)
- Klaus Hildebrandt (TU Delft)
- Kai Hormann (Università della svizzera italiana)
- Haibin Huang (Kwai Inc.)
- Jin Huang (Zhejiang University)
- Ioannis Ivrissimtzis (Durham University)
- Xiaohong Jia (Chinese Academy of Sciences)
- Bert Jüttler (Johannes Kepler University)
- Takashi Kanai (University of Tokyo)
- Hamid Laga (Murdoch University)
- Xin Li (Texas A&M University)
- Zhouhui Lian (Peking University)
- Hongwei Lin (Zhejiang University)
- Lin Lu (Shandong University)
- Chongyang Ma (ByteDance)
- Claudio Mancinelli (University of Genoa)
- Martin Marinov (Autodesk)
- Nicolas Mellado (CNRS IRIT)
- Ahmad Nasri (Boulder Graphics LLC)
- Stefan Ohrhallinger (Vienna University of Technology)
- Yutaka Ohtake (University of Tokyo)
- Amal Dev Parakkat (Institut Polytechnique de Paris)
- Konrad Polthier (Freie Universitat Berlin)
- Hong Qin (Stony Brook University)
- Carlo Sequin (UC Berkeley)
- Liyong Shen (Chinese Academy of Sciences)
- Zhenyu Shu (Zhejiang University)
- Keke Tang (Guangzhou University)
- Daniel Thalmann (Swiss Federal Institute of Technology)
- Yiying Tong (Michigan State University)
- Georg Umlauf (HTWG Konstanz)
- Amir Vaxman (The University of Edinburgh)
- Pengshuai Wang (Peking University)
- Weiming Wang (Dalian University of Technology)
- Charlie C.L. Wang (The University of Manchester)
- Kui Wu (Tencent North America)
- Tieru Wu (Jilin University)
- Kai Xu (National University of Defense Technology)
- Gang Xu (Hangzhou Dianzi University)
- Yongjie Jessica Zhang (Carnegie Mellon University)
- Qiang Zou (Zhejiang University)
Previous conferences
SMI 2022 - Singapore, (online) [proceedings A,B,C]
SMI 2020 - Strasbourg, France (online) [proceedings]
SMI 2018 - Lisbon, Portugal [proceedings]
SMI 2016 - Berlin, Germany [proceedings]
SMI 2014 - Hong Kong, China [proceedings]
SMI 2012 - College Station, USA [proceedings]
SMI 2010 - Aix-En Provence, France [proceedings]
SMI 2008 - Stony Brook, USA [proceedings]
SMI 2006 - Matsushima, Japan [proceedings]
SMI 2004 - Genova, Italy [proceedings]
SMI 2002 - Banff, Alberta, Canada [proceedings]
SMI 1999 - Aizuwakamatsu, Japan [proceedings]
SMI 2023 - Genova, Italy [proceedings]
SMI 2021 - Texas, USA (online) [proceedings]
SMI 2019 - Vancouver, Canada [proceedings]
SMI 2017 - Berkeley, USA [proceedings]
SMI 2015 - Lille, France [proceedings]
SMI 2013 - Bournemouth, UK [proceedings]
SMI 2011 - Herzliya, Israel [proceedings]
SMI 2009 - Beijing, China [proceedings]
SMI 2007 - Lyon, France [proceedings]
SMI 2005 - Cambridge, USA [proceedings]
SMI 2003 - Seoul, Korea [proceedings]
SMI 2001 - Genova, Italy [proceedings]
SMI 1997 - Aizuwakamatsu, Japan [proceedings]