The Mission

The Graphics Replicability Stamp Initiative (GRSI) is an independent group of volunteers who help the community by enabling sharing of code and data as a community resource for non-commercial use. The volunteers check 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 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.

Application Process

Any paper accepted in or after 2017 at one the following journals is eligible to apply for the stamp: The application process is lightweight, please refer to the website of the journals for their application form. You will have to provide general information on the submission, a representative image, a link to a public git repository with the source code, and instructions on how to compile and replicate the results. The code should compile on a vanilla installation of one of the major operating systems (Linux, MacOSX, or Windows), have a license that allows non-commercial usage, and only depend on libraries that are free for academic or research purposes. The code quality will not be evaluated, the purpose of the stamp is only to simplify replicability of the results: in its simplest form, the code should reproduce the data used to generate every result figure shown in the paper.

Replicable Papers

Learning Symmetric and Low-energy Locomotion

Wenhao Yu, Greg Turk, Cheng-Yun Karen Liu
ACM Transactions on Graphics (TOG)

Repository

Exploring the Sensitivity of Choropleths under Attribute Uncertainty

Zhaosong Huang, Yafeng Lu, Elizabeth A. Mack, Wei Chen, and Ross Maciejewski
IEEE Transactions on Visualization and Computer Graphics (TVCG)

Repository

Persistence Atlas for Critical Point Variability in Ensembles

Guillaume Favelier, Noura Faraj, Brian Summa, Julien Tierny
IEEE Transactions on Visualization and Computer Graphics (TVCG)

Repository

Progressive Parameterizations

Ligang Liu, Chunyang Ye, Ruiqi Ni, Xiao-Ming Fu
ACM Transactions on Graphics (TOG)

Repository

Robust and High Fidelity Mesh Denoising

Sunil Kumar Yadav , Ulrich Reitebuch, Konrad Polthier
IEEE Transactions on Visualization and Computer Graphics (TVCG)

Repository

Mastering Sketching: Adversarial Augmentation for Structured Prediction

Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa
ACM Transactions on Graphics (TOG)

Repository

Variational Stokes: A Unified Pressure-Viscosity Solver for Accurate Viscous Liquids

Egor Larionov, Christopher Batty, Robert Bridson
ACM Transactions on Graphics (TOG)

Repository

Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces

Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, and Leonidas Guibas
Wiley Computer Graphics Forum (CGF)

Repository

Peeling the Longest: A Simple Generalized Curve Reconstruction Algorithm

Amal Dev Parakkat, Subhasree Methirumangalath, Ramanathan Muthuganapathy,
Elsevier Computers & Graphics (SMI 2018)

Repository

3D Synthesis of Man-made Objects based on Fine-grained Parts

Diego Gonzalez, Oliver van Kaick
Elsevier Computers & Graphics (SMI 2018)

Repository

Constraint-based Point Set Denoising using Normal Voting Tensor and Restricted Quadratic Error Metrics

Sunil Kumar Yadav, Ulrich Reitebuch, Martin Skrodzki, Eric Zimmermann, Konrad Polthier
Elsevier Computers & Graphics (SMI 2018)

Repository

FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods

Stefan Ohrhallinger, Michael Wimmer
Wiley Computer Graphics Forum (CGF)

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T-junctions in spline surfaces

Kestutis Karciauskas, Daniele Panozzo, Jorg Peters (F# code by Martin Sarov)
ACM Transactions on Graphics (TOG)

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Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines

Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao Zhang
ACM Transactions on Graphics (TOG)

Repository

Adjoint Map Representation for Shape Analysis and Matching

Ruqi Huang, Maks Ovsjanikov
Wiley Computer Graphics Forum (SGP 2017)

Repository

A Multi-Scale Model for Simulating Liquid-Hair Interactions

Yun (Raymond) Fei, Henrique Teles Maia, Christopher Batty, Changxi Zheng, Eitan Grinspun
ACM Transactions on Graphics (TOG)

Repository

Interpolations of Smoke and Liquid Simulations

Nils Thuerey
ACM Transactions on Graphics (TOG)

Repository

Disjoint Convex Shell and its Applications in Mesh Unfolding

Yun-hyeong Kim, Zhonghua Xi, Jyh-Ming Lien
Elsevier Computer-Aided Design (SPM 2017)

Repository

Hole Detection of a Planar Point Set: An Empty Disk Approach

​​Subhasree Methirumangalath, Shyam Sundar Kannan, Amal Dev Parakkat, and Ramanathan Muthuganapathy
Elsevier Computers & Graphics (SMI 2017)

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Improved shape for refinable surfaces with singularly parameterized irregularities

Kestutis Karciauskas, Jorg Peters
Elsevier Computer-Aided Design (SPM 2017)

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Extrinsically Smooth Direction Fields

Zhiyang Huang, Tao Ju
Elsevier Computers & Graphics (SMI 2016)

Repository

PinMesh -- Fast and Exact 3D Point Location Queries using a Uniform Grid

Salles V.G. Magalhães, Marcus V.A. Andrade, W. Randolph Franklin, Wenli Li
Elsevier Computers & Graphics (SMI 2016)

Repository

The 2D Shape Structure Dataset: A user annotated open Access Database

Axel Carlier, Kathryn Leonard, Stefanie Hahmann, Geraldine Morin, Misha Collins
Elsevier Computers & Graphics (SMI 2016)

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Computing a Discrete Morse Gradient From a Watershed Decomposition

Lidija Comic, Leila De Floriani, Federico Iuricich, Paola Magillo
Elsevier Computers & Graphics (SMI 2016)

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A Closed-Form Formulation of HRBF-Based Surface Reconstruction by Approximate Solution

Shengjun Liu, Charlie C.L. Wang, Guido Brunnett, Jun Wang
Elsevier Computer-Aided Design (SPM 2016)

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Modeling and Analysis of Origami Structures with Smooth Folds

Edwin A. Peraza Hernandez, Darren J. Hartl, Ergun Akleman, Dimitris C. Lagoudas
Elsevier Computer-Aided Design (SPM 2016)

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Planar Minimization Diagrams via Subdivision with Applications to Anisotropic Voronoi Diagrams

Huck Bennett, Evanthia Papadopoulou, Chee Yap
Wiley Computer Graphics Forum (SGP 2016)

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Crawl through Neighbors: A Simple Curve Reconstruction Algorithm

Amal Dev Parakkat, Ramanathan Muthuganapathy
Wiley Computer Graphics Forum (SGP 2016)

Repository

Non-Rigid Puzzles

Or Litany, Emanuele Rodola, Alex Bronstein, Michael Bronstein, Daniel Cremers
Wiley Computer Graphics Forum (SGP 2016)

Repository

Construction of Topologically Correct and Manifold Isosurfaces

Roberto Grosso
Wiley Computer Graphics Forum (SGP 2016)

Repository

Curve Reconstruction with Many Fewer Samples

Stefan Ohrhallinger, Scott Mitchell, Michael Wimmer
Wiley Computer Graphics Forum (SGP 2016)

Repository

Complex Transfinite Barycentric Mappings with Similarity Kernels

Renjie Chen, Craig Gotsman
Wiley Computer Graphics Forum (SGP 2016)

Repository

Organization

The Replicability committee is a independent group of volunteers from the graphics community who want to help the community by enabling sharing of code and data as a community resource for non-commercial use.

General Chair

Daniele Panozzo (New York University)

Associate Chairs

Marc Alexa (TU Berlin) - ACM TOG,
Leila De Floriani (University of Maryland, College Park) - IEEE TVCG,
Min Chen (University of Oxford) - Wiley CGF,
Joaquim Jorge (Instituto Superior Tecnico Lisboa) - Elsevier C&G,
Konrad Polthier (FU Berlin) - Elsevier CAGD

Conference Chairs

Marco Attene (IMATI-GE / CNR) - SMI,
Mario Botsch (University of Bielefeld) - SPM,

Advisory Board

Leif Kobbelt (RWTH Aachen), Holly Rushmeier (Yale University), Wenzel Jakob (EPFL), Sylvain Paris (Adobe Research), Kun Zhou (Zhejiang University), Juliana Freire (New York University), Marco Attene (IMATI-GE/CNR), Kavita Bala (Cornell).

Program Committee

Alec Jacobson (University of Toronto), Carlos Scheidegger (University of Arizona), Chengcheng Tang (Stanford University), Christian Schuller (ETHZ), Christoph Garth (University of Kaiserslautern), David Bommes (RWTH Aachen University), Dmitry Sokolov (INRIA), Francis Williams (NYU), James Zhou (Adobe Research), Jeremie Dumas (NYU), Julian Panetta (EPFL), Julien Tierny (CNRS), Jun-Yan Zhu (MIT), Justin Solomon (MIT), Kenshi Takayama (NII), Mario Botsch (University of Bielefeld), Miika Aittala (Aalto University), Nico Pietroni (ISTI CNR), Noam Aigerman (ETHZ), Oliver Glauser (ETHZ), Roi Poranne (ETHZ), Ryan Schmidt (Autodesk), Sebastian Koch (TU Berlin), Shahar Kovalsky (Yale University), Vijay Natarajan (Indian Institute of Science), Vladimir Kim (Adobe Research), Xifeng Gao (NYU), Yotam Gingold (George Mason University).