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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.

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Any paper accepted in or after 2017 at one the following journals is eligible to apply for the stamp:
  • ACM Transaction on Graphics
  • IEEE Transaction on Visualization and Computer Graphics
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  • Elsevier Computers & Graphics
  • Elsevier Computer Aided Geometric Design
  • Elsevier Computer-Aided Design
The application process is lightweight. 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 one result figure shown in the paper.

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黑洞加速下载器永久免费-旋风加速度器

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Bart Iver van Blokland, Theoharis Theoharis
Elsevier Computers & Graphics (C&G)

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Jan Bender, Tassilo Kugelstadt, Marcel Weiler, Dan Koschier
IEEE Transactions on Visualization and Computer Graphics (TVCG)

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Interactive Visual Exploration of Metabolite Ratios in MR Spectroscopy Studies

Laura Garrison, Jakub Vasicek, Alexander R. Craven, Renate Gruner, Noeska N. Smit, Stefan Bruckner
Elsevier Computers & Graphics (C&G)

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Zhiyu Hu, Dongbo Zhang, Shuai Li, Hong Qin
Elsevier Computers & Graphics (C&G)

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Fast quasi-conformal regional flattening of the left atrium

Marta Nunez-Garcia, Gabriel Bernardino, Francisco Alarcon, Gala Caixal, Lluis Mont, Oscar Camara, Constantine Butakoff
IEEE Transactions on Visualization and Computer Graphics (TVCG)

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Vectorization of persistence barcode with applications in pattern classification of porous structures

Zhetong Dong, Chuanfeng Hu, Chi Zhou, Hongwei Lin
Elsevier Computers & Graphics (C&G)

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Surfel-Based Incremental Reconstruction of the Boundary between Known and Unknown Space

Riccardo Monica, Jacopo Aleotti
IEEE Transactions on Visualization and Computer Graphics (TVCG)

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On the perceptual Influence of Shape overlap on Data-Comparision using Scatterplots

Christian van Onzenoodt, Anke Huckauf, Timo Ropinski
Elsevier Computers & Graphics (C&G)

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IEEE Transactions on Visualization and Computer Graphics (TVCG)

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Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
IEEE Transactions on Visualization and Computer Graphics (TVCG)

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SDM-NET: Deep Generative Network for Structured Deformable Mesh

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ACM Transactions on Graphics (TOG)

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Automatic Unpaired Shape Deformation Transfer

Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu and Shihong Xia
ACM Transactions on Graphics (TOG)

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Corner-Operated Tran-Similar (COTS) maps, patterns, and lattices

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Simplicial complex augmentation framework for bijective maps

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TriWild: Robust Triangulation with Curve Constraints

Yixin Hu, Teseo Schneider, Xifeng Gao, Qingnan Zhou, Alec Jacobson, Denis Zorin, Daniele Panozzo.
ACM Transactions on Graphics (TOG)

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Zhen Chen, Daniele Panozzo, Jeremie Dumas
IEEE Transactions on Visualization and Computer Graphics (TVCG)

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Poly-Spline Finite Element Method

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ACM Transactions on Graphics (TOG)

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Decoupling Simulation Accuracy from Mesh Quality

Teseo Schneider, Yixin Hu, Jeremie Dumas, Xifeng Gao, Daniele Panozzo, Denis Zorin
ACM Transactions on Graphics (TOG)

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Learning Character-Agnostic Motion for Motion Retargeting in 2D

Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or
ACM Transactions on Graphics (TOG)

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Position-Free Monte Carlo Simulation for Arbitrary Layered BSDFs

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智能爬墙机器人的设计与制作_百度文库:爬墙机器人的质量 m，电机螺旋桨的最大推力 F，爬墙机器人在运动中速度与阻力的关 系。 经考虑，为了方便得出速度与阻力的关系，可众设定电机螺旋桨在垂直车身施加的力保持 不变，阻力 F 简化为众下关系，F 运动阻力=kv。

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Rodent: Generating Renderers without Writing a Generator

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ACM Transactions on Graphics (TOG)

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Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
ACM Transactions on Graphics (TOG)

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On Bubble Rings and Ink Chandeliers

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ACM Transactions on Graphics (TOG)

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Combining Voxel and Normal Predictions for Multi-View 3D Sketching

Johanna Delanoy, David Coeurjolly, Jacques-Olivier Lachaud, Adrien Bousseau
Elsevier Computers & Graphics (C&G)

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An Implicit Frictional Contact Solver for Adaptive Cloth Simulation

Jie Li, Gilles Daviet, Rahul Narain, Florence Bertails-Descoubes, Matthew Overby, George Brown, Laurence Boissieux
ACM Transactions on Graphics (TOG)

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Learning Symmetric and Low-energy Locomotion

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

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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)

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Persistence Atlas for Critical Point Variability in Ensembles

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

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Progressive Parameterizations

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

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Robust and High Fidelity Mesh Denoising

Sunil Kumar Yadav , Ulrich Reitebuch, Konrad Polthier
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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)

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Elsevier Computers & Graphics (SMI 2018)

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Wiley Computer Graphics Forum (CGF)

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ACM Transactions on Graphics (TOG)

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

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Adjoint Map Representation for Shape Analysis and Matching

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Wiley Computer Graphics Forum (SGP 2017)

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A Multi-Scale Model for Simulating Liquid-Hair Interactions

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ACM Transactions on Graphics (TOG)

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ACM Transactions on Graphics (TOG)

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Elsevier Computer-Aided Design (SPM 2017)

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

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Elsevier Computers & Graphics (SMI 2017)

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Elsevier Computer-Aided Design (SPM 2017)

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Elsevier Computers & Graphics (SMI 2016)

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Elsevier Computers & Graphics (SMI 2016)

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Elsevier Computer-Aided Design (SPM 2016)

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Wiley Computer Graphics Forum (SGP 2016)

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Construction of Topologically Correct and Manifold Isosurfaces

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Wiley Computer Graphics Forum (SGP 2016)

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Wiley Computer Graphics Forum (SGP 2016)

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Complex Transfinite Barycentric Mappings with Similarity Kernels

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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

Marco Attene (CNR - IMATI)

Associate Chairs

Marc Alexa (TU Berlin) - ACM TOG,
Klaus Mueller (Stony Brook University) - IEEE TVCG,
Helwig Hauser (University of Bergen) - Wiley CGF,
Joaquim Jorge (Instituto Superior Tecnico Lisboa) - Elsevier C&G,
Konrad Polthier (FU Berlin) - Elsevier CAGD
Vadim Shapiro (Univ. Wisconsin-Madison) - Elsevier CAD

Advisory Board

Daniele Panozzo (New York Univ.), Leif Kobbelt (RWTH Aachen), Holly Rushmeier (Yale Univ.), Wenzel Jakob (EPFL), Sylvain Paris (Adobe Research), Kun Zhou (Zhejiang Univ.), Juliana Freire (New York Univ.), Kavita Bala (Cornell), Leila De Floriani (Univ. of Maryland), Min Chen (Univ. of Oxford), David Coeurjolly (CNRS).

Program Committee

Alec Jacobson (University of Toronto), Carlos Scheidegger (University of Arizona), Christoph Garth (University of Kaiserslautern), David Bommes (University of Bern), David Coeurjolly (CNRS), Dmitriy Smirnov (MIT), Dmitry Sokolov (INRIA), Dobrina Boltcheva (University of Lorraine), Francis Williams (NYU), James Zhou (Adobe Research), Jeremie Dumas (NYU), Julian Panetta (EPFL), Julie Digne (CNRS), Julien Tierny (CNRS), Jun-Yan Zhu (MIT), Justin Solomon (MIT), Kenshi Takayama (NII), Marcel Campen (Osnabruck University), Marco Livesu (IMATI), Mario Botsch (University of Bielefeld), Miika Aittala (MIT), Nico Pietroni (ISTI CNR), Nicolas Bonneel (CNRS), Nicolas Mellado (CNRS), Noam Aigerman (ETHZ), Olga Diamanti (TU Berlin), Oliver Glauser (ETHZ), Roi Poranne (ETHZ), Ryan Schmidt (Autodesk), Sebastian Koch (TU Berlin), Shahar Kovalsky (Duke University), Srinath Sridhar (Stanford), Teseo Schneider (NYU), Vijay Natarajan (Indian Institute of Science), Vladimir Kim (Adobe Research), Xifeng Gao (NYU), Yotam Gingold (George Mason University), Yu Wang (MIT), Zhongshi Jiang (NYU).

Technical Manager

Daniela Cabiddu (CNR - IMATI)

© Daniele Panozzo . Credits: HTML5 UP

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