About SMI

The Shape Modeling International (SMI 2018) Symposium is the premier international forum for the dissemination of new mathematical theories and novel computational techniques for modeling, simulating, and processing digital shape representations. SMI gathers a wide community of researchers, developers, practitioners, and students in academia and industry.

Conference proceedings will be published in a special issue of the Journal of Computers & Graphics (Elsevier) after a rigorous two-stage review process.

More information on topics, paper format, submission guidelines, and important dates are given below.

Co-located event

The Fabrication and Sculpting Event (FASE 2018) is organized in co-location with SMI 2018. It presents original research at the intersection of theory and practice in shape modeling, fabrication and sculpting. Visit FASE 2018 web page for more details.

When and Where

The symposium will take place from June 6th to 8th at the Instituto Superior Técnico, University of Lisbon (Portugal).

SMI18: Submitting a Paper
(or a Poster)


Abstract for full papers: Wednesday, March 7th
Important Update: Although the abstract deadline has passed, we still accept full paper submissions on the EasyChair System until the full paper deadline.
Full paper submission: Monday, March 12th
First review notification: Friday, April 13th
Final notification of acceptance: Tuesday, May 8th
Poster submission: Friday, May 15th
Camera ready full papers due: Friday, May 15th

All deadlines at 23:59 UTC/GMT


  • 3D geometry acquisition, registration and reconstruction
  • Behavior and animation models
  • Compression and streaming
  • Computational topology
  • Curves and surfaces
  • Deep learning for shape/scene processing
  • Shape deformation
  • Digital fabrication and 3D printing
  • Exploration of shape collections
  • Generative models of shapes/scenes
  • Implicit surfaces
  • Interactive modeling, design & editing
  • Medial and skeletal representations
  • Repairing and resampling
  • Shape analysis
  • Shape correspondence and retrieval
  • Parametric and procedural models, shape grammars
  • Shape modeling applications (biomedical, GIS, artistic, cultural heritage, and others)
  • Shape segmentation
  • Sketching & 3D input modalities
  • Subdivision methods
  • Triangle and polygonal meshes

Paper Format

Submissions should be formatted according to the style guidelines for Computers & Graphics (Elsevier) and should not exceed 12 pages, including figures and references, since all accepted papers will appear in a special issue of the said journal. We strongly recommend using the LaTeX template to format your paper. But we also accept papers formatted by MS Word according to the style guidelines for Computers & Graphics (Elsevier). The file must be submitted in PDF format for the first round of submission.

Please refer to the Computers & Graphics Guide for Authors for format details and LaTeX instructions/template.

Double-Blind Review: The SMI 2018 conference will use a double-blind review process. Consequently, all submissions must be anonymous.


Abstract: An abstract should be submitted to the EasyChair System before March 7th at 23:59 UTC/GMT. The abstract should contain the title and one paragraph explaining the main idea of the paper. It will support the reviewer assignment.

Full Papers: All papers (maximum 12 pages) should be submitted to the EasyChair System before March 12th at 23:59 UTC/GMT.

Papers should present previously unpublished, original results that are not simultaneously submitted elsewhere.

All submission will be rigorously peer-reviewed by members of the international program committee. All accepted papers will be published in the journal of Computers & Graphics (Elsevier).

Any accepted paper is required to have at least one registered author to attend and present the paper at the conference.

If you have any technical problems on paper submission, please contact the Program Chairs for inquiry.

SMI18: Submitting a Poster


SMI-2018 will have a poster session and will accept proposals for posters in the form of abstracts. We encourage researchers and students to present to the SMI community their novel idea or work in a simple and concise manner.

We are now accepting abstract from poster submission form. Notification of poster acceptance will be sent out a.s.a.p. after reception of abstract. The submission will be closed by May 15th at 23:59 UTC/GMT.

Poster Format

The abstracts should contain the title, the names/affiliations/URLs of the authors, and a brief (at most 400 words) outline of the problem discussed and of the contribution presented.The display information and specifications (e.g., poster size) will be communicated along with the acceptance notifications to the authors.

Additional Info

Any accepted poster is required to have at least one registered author to attend and present the paper at the conference.

If you have any questions or suggestions, please contact poster session chair Xin (Shane) Li.

Submit your poster here!

Replicability Stamp

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)


Member discount

SMI 2018 offers a discounted rate to ACM, EG or IEEE members. Proof of membership must be provided at the moment of registration.

Student discount

SMI2018 also offers students access to the conference at a discounted rate. A student registration includes access to all sessions as well as to lunches and coffee breaks. The fee also includes conference digital media. A valid student ID card has to be presented at registration desk.

Early bird discount

SMI2018 offers discounted rates for all categories for participants registered on or before Tuesday, May 15th, 2018.
  until May 15th   after May 15th
Full Registration, IEEE, EG, ACM Member € 385 € 495
Student Registration, IEEE, EG, ACM Member € 275 € 330
Full Registration € 495 € 605
Student Registration € 330 € 385

Register and book your hotel here!

SMI 2018 Program


  • Wedesday, June 6th

  • 11:00-12:30 || Technical Session #1 || Shape Design
  •   Rapidly contracting subdivision yields finite, effectively C2 surfaces.
      Kestutis Karciauskas and Jorg E Peters

  •   Multi-sided Bézier surfaces over concave polygonal domains.
      Péter Salvi and Tamás Várady

  •    3D synthesis of man-made objects based on fine-grained part
      Diego Gonzalez and Oliver van Kaick

  • 14:00-15:30 || Technical Session #2 || Surface parametrization and simplification
  •   Hierarchical Cut Construction for Planar Parameterizations
      Shuangming Chai, Xiao-Ming Fu, Xin Hu, Yang Yang and Ligang Liu.

  •   Joint planar parameterization of segmented parts and cage deformation for dense correspondence
      Srinivasan Ramachandran, Donya Ghafourzadeh, Eric Paquette, Tiberiu Popa and Martin de Lasa

  •   Edge contraction in persistence-generated discrete Morse vector fields
      Tamal Dey and Ryan Slechta

  • 16:00-17:30 || Technical Session #3 || 2D Shape and Sketch Processing
  •   Peeling the Longest: A Simple Generalized Curve Reconstruction Algorithm
      Amal Dev Parakkat, Subhasree Methirumangalath and Ramanathan Muthuganapathy

  •   2D Skeleton Extraction Based on Heat Equation
      Fengyi Gao, Shiqing Xin, Guangshun Wei and Yuanfeng Zhou

  •   Hierarchical Representation for Rasterized Planar Face Complexes
      Guillaume Damiand, Aldo Gonzalez Lorenzo, Jarek Rossignac and Florent Dupont

  •   A Delaunay triangulation-based approach for cleaning rough sketches
      Amal Dev Parakkat, Uday Bondi Pundarikaksha and Ramanathan Muthuganapathy

  • Thursday, June 7th

  • 9:00-10:30 || Technical Session #4 || Reconstruction I
  •   Reconstruction of a textured 3D object from different viewpoints
      Julien Fayer, Bastien Durix, Simone Gasparini and Geraldine Morin

  •   Robust Enhancement of Depth Images from Depth
      Tariqul Islam, Christian Scheel, Renato Pajarola and Oliver Staadt

  •   Efficient tree modeling from airborne LiDAR point clouds
      Shaojun Hu, Zhengrong Li, Zhiyi Zhang, Dongjian He and Michael Wimmer

  • 11:00-12:30 || Technical Session #5 || Denoising
  •   Mesh denoising with (geo)metric fidelity
      Marco Centin and Alberto Signoroni

  •   Constraint-based Point Set Denoising using Restricted Quadratic Error Metrics
      Sunil Kumar Yadav, Ulrich Reitebuch, Martin Skrodzki, Eric Zimmermann and Konrad Polthier

  •   Propagated Mesh Normal Filtering
      Bin Liu, Junjie Cao, Weiming Wang, Ning Ma, Bo Li, Ligang Liu and Xiuping Liu

  • 14:00-15:30 || Technical Session #6 || Shape Matching and Interpolation
  •   Embedding Shapes with Green’s functions for Global Shape Matching
      Oliver Burghard, Alexander Dieckmann and Reinhard Klein

  •   Deep Style Estimator for 3D Indoor Object Collection Organization and Scene Synthesis
      Xiaotian Wang, Bin Zhou, Yu Zhang and Yifan Zhao

  •   DiLight: Digital Light Table - Interbetweening for 2D Animations Using Guidelines
      Leonardo Carvalho, Ricardo Marroquim and Emilio Vital Brazil

  • Friday, June 8th

  • 9:00-10:30 || Technical Session #7 || Reconstruction II
  •   MixedFusion: Real-Time Reconstruction of an Indoor Scene with Dynamic Objects
      Hao Zhang and Feng Xu

  •   Surface reconstruction of incomplete datasets: a novel Poisson surface approach based on CSRBF
      Jules Morel, Alexandra Bac and Cédric Vega

  •   Robust Non-rigid Motion Tracking and Surface Reconstruction Using L0 Regularization
      Kaiwen Guo, Feng Xu, Yangang Wang, Yebin Liu, Qionghai Dai

Keynote Speakers

Hao Zhang

Hao (Richard) Zhang

Simon Fraser University, Canada

Bio: Hao (Richard) Zhang is a professor in the School of Computing Science at Simon Fraser University (SFU), Canada, where he directs the computer graphics (GrUVi) lab and the Professional Masters Program in Visual Computing. He obtained his Ph.D. from the University of Toronto and MMath and BMath degrees from the University of Waterloo. Richard's research is in computer graphics with special interests in geometric modeling, shape analysis, 3D content creation, as well as computational design and fabrication. He was a past editor-in-chief of Computer Graphics Forum, a SIGGRAPH Asia 2014 course chair, and paper chairs for SGP 2013, Graphics Interface 2015, CGI 2018, among others. He received a National Science and Engineering Research Council of Canada Discovery Accelerator Award in 2014, best paper awards from SGP 2008 and CAD/Graphics 2017, a Faculty Research Excellence Award at SFU in 2014, and a National Science Foundation of China (NSFC) Outstanding Overseas Scholar Award in 2015. He has been a visiting professor at Stanford University, Shandong University, and Shenzhen University.

From Symmetry to Functionality: An Evolution to Understand and Model 3D Shapes

Abstract: Symmetry is ubiquitous in nature and man-made artifacts. In this talk, I first explain how symmetry organization can play a crucial role in understanding shapes and patterns. In particular, it may seem surprising that one can infer the generative history of a pattern by analyzing its symmetries alone. Furthermore, I show how a symmetry-induced hierarchical representation of shape structures holds the key to allow a machine to learn a generative model of 3D shapes. However, symmetry analysis is only a start, I argue that the ultimate goal of shape understanding is a functional understanding. With an intimate connection to object functionality, symmetry provides a first cue (i.e., symmetric object parts tend to perform the same function) to functional shape analysis, but the missing piece is how an object interacts with its environment to perform its functions. In the second part of my talk, I will introduce our recent works on functional analysis and modeling of 3D shapes, evolving from a descriptor of static functionalities to functional motion prediction, and from model-driven approaches to the utilization of deep neural networks.

Baining Guo

Baining Guo

Microsoft Research Asia

Bio: Baining Guo is a Distinguished Scientist with the Microsoft Corporation and Deputy Managing Director of Microsoft Research Asia, where he also serves as the head of the computer graphics lab. Prior to joining Microsoft in 1999, Baining was a senior staff researcher with Intel Research in Santa Clara, California. Baining received his PhD and MS degrees from Cornell University, and his BS from Beijing University. He is a fellow of ACM and IEEE. Baining works in computer graphics and computer vision. His interests span most aspects of computer graphics, with an emphasis on statistical modeling of texture and appearance, GPU-based rendering, and geometric modeling. He has also worked on image understanding and video analysis. He was on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, Elsevier Journal of Computer and Graphics, and IEEE Computer Graphics and Applications. He has also served on program committees of most major graphics and visualization conferences, including ACM SIGGRAPH, ACM SIGGRAPH Asia, and IEEE Visualization. In 2014, he was the technical papers chair of ACM SIGGRAPH Asia. Dr. Guo has over 50 US patents.

Shape representation: a historic perspective

Abstract: The dependence on representations is a general phenomenon that appears throughout geometric computing. In 3D shape retrieval, for example, searching a target shape can proceed exponentially faster if the shapes database is well structured and properly indexed. It is not surprising that the choice of shape representation has an enormous effect on the performance of geometry processing algorithms. In this talk, I will review both the conventional shape representations (parametric surfaces, implicit surfaces, and meshes) and the emerging distributed shape representations. I will discuss the impact of distributed shape representations on the future of 3D shape analysis and synthesis.

SMI 2018 General Chairs

International Program Committee  

  • Valery Adzhiev (Bournemouth University)
  • Ergun Akleman (Texas A&M University)
  • Pierre Alliez (INRIA Sophia-Antipolis)
  • Marco Attene (IMATI-CNR)
  • Melinos Averkiou (University of Cyprus)
  • Omri Azenkot (UCLA)
  • Hujun Bao (Zhejiang University)
  • Gill Barequet (Technion - Israel Institute of Technology)
  • Alexander Belyaev (Heriot-Watt University)
  • Silvia Biasotti (IMATI-CNR)
  • Georges-Pierre Bonneau (University Grenoble Alpes)
  • Mario Botsch (Bielefeld University)
  • Tamy Boubekeur (ParisTech)
  • Adrien Bousseau (INRIA, Sophia Antipolis)
  • Michael Bronstein (Università della Svizzera Italiana)
  • Marcel Campen (Osnabrück University)
  • Nathan Carr (Adobe Systems)
  • Raphaelle Chaine (University of Lyon)
  • Sid Chaudhuri (Adobe Research India)
  • Paolo Cignoni (ISTI-CNR)
  • David Cohen-Steiner (INRIA, Sophia Antipolis)
  • Tamal Dey (Ohio State University)
  • Olga Diamanti (Stanford University)
  • Anastasia Dubrovina (Stanford University)
  • Jeremie Dumas (New York University)
  • Gershon Elber (Technion - Israel Institute of Technology)
  • Leila De Floriani (Universiy of Maryland)
  • Hongbo Fu (City University of Hong Kong)
  • Eric Galin (University of Lyon)
  • Xifeng Gao (New York University)
  • Yotam Gingold (George Mason University)
  • Eric Guerin (INSA de Lyon)
  • Franck Hetroy-Wheeler (University of Strasbourg)
  • Kai Hormann (University of Lugano)
  • Qixing Huang (UT Austin)
  • Ioannis Ivrissimtzis (Durham University)
  • Alec Jacobson (University of Toronto)
  • Bert Juettler (Johannes Kepler University)
  • Takashi Kanai (University of Tokyo)
  • Vladimir Kim (Adobe Research)
  • Shahar Kovalsky (Duke)
  • Hamid Laga (Murdoch University)
  • Guillaume Lavoué (INSA de Lyon)
  • Sylvain Lefebvre (INRIA Nancy Grand-Est)
  • Bruno Levy (INRIA Nancy Grand-Est)
  • Xin Li (Louisiana State University)
  • Yangyan Li (Shandong University)
  • Peter Lindstrom (Lawrence Livermore National Laboratory)
  • Ligang Liu (USTC)
  • Linjie Luo (Snap Research)
  • Chongyang Ma (Snap Research)
  • Geraldine Morin (University Toulouse)
  • Ahmad Nasri (Boulder Graphics LLC)
  • Matthias Niessner (TU München)
  • Yutaka Ohtake (University of Tokyo)
  • Alexander Pasko (Skoltech, Russia; Bournemouth University, UK)
  • Giuseppe Patane (IMATI-CNR)
  • Jorg Peters (University of Florida)
  • Nico Pietroni (CNR-ISTI)
  • Konrad Polthier (Freie Universitat Berlin)
  • Roi Poranne (ETHZ)
  • Hong Qin (SUNY Stony Brook)
  • Damien Rohmer (Ecole Polytechnique, Paris)
  • Raif Rustamov (AT&T Labs Research)
  • Manolis Savva (Princeton University)
  • Camille Schreck (INRIA Rhone-Alpes)
  • Carlo Sequin (UC Berkeley)
  • Alla Sheffer (University of British Columbia)
  • Karan Singh (University of Toronto)
  • Mélina Skouras (MIT)
  • Justin Solomon (MIT)
  • Hao Su (University of California-San Diego)
  • Chengcheng Tang (Stanford University)
  • Kai Tang (Hong Kong Univeristy of Science and Technology)
  • Daniel Thalmann (Swiss Federal Institute of Technology)
  • Yiying Tong (Michigan State University,)
  • Georg Umlauf (HTWG Konstanz)
  • Remco Veltkamp (Utrecht University)
  • Etienne Vouga (UT Austin)
  • Johannes Wallner (TU Graz)
  • Michael Wand (Universität Mainz)
  • Wenping Wang (University of Hong Kong)
  • Michael Wimmer (TU Wien)
  • Brian Wyvill (University of Victoria)
  • Kai Xu (National University of Defense Technology)
  • Jimei Yang (Adobe Research)
  • Duan Ye (University of Missouri)
  • Craig Yu (UMass Boston)
  • Ersin Yumer (Argo-AI)


E-mail: smi2018@tecnico.ulisboa.pt


SMI 2018 Secretariat
Rua Alves Redol, 9
1000-028 Lisboa