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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
| Date | Stars |
|---|---|
| 2026-07-24 | 977 |
| 2026-07-25 | 977 |
| 2026-07-28 | 977 |
| 2026-07-30 | 977 |
| 2026-08-06 | 977 |
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# Curated List of 3D Morphable Model Software and Data <p align="center"> <img src="images/MorphableModels.png" alt ="3D Morphable Models"> </p> The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019. This list also accompanies our survey on 3D Morphable models: **3D Morphable Face Models - Past, Present and Future** Bernhard Egger, William A.P Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter ACM Transactions on Graphics, 2020 DOI: https://doi.org/10.1145/3395208 https://arxiv.org/abs/1909.01815 # Morphable Models: ## Google Group - Google group to help foster a research community interested in 3DMMs, share resources etc.: https://groups.google.com/forum/#!forum/3d-morphable-models ## Face Models: - Basel Face Model 2009: http://faces.cs.unibas.ch/bfm/?nav=1-0&id=basel_face_model - Basel Face Model 2017: http://faces.cs.unibas.ch/bfm/bfm2017.html - Large Scale 3D Morphable Model: https://xip.uclb.com/i/healthcare_tools/LSFM.html - Liverpool-York Head Model: https://www-users.cs.york.ac.uk/~nep/research/LYHM/ - Multilinear Autoencoder for 3D Face Model Learning: http://mae.gforge.inria.fr/ - Statistical 3D Shape Models of Human Faces: http://facepage.gforge.inria.fr/ - Surrey Face Model https://cvssp.org/facemodel - FLAME: Articulated Expressive Head Model: http://flame.is.tue.mpg.de/ - CoMA: Convolutional Mesh Autoencoder: http://coma.is.tue.mpg.de/ - ICT-FaceKIT - ICT Face Model: https://github.com/VGL-Group/ICT-FaceKit - Albedo Morphable Model: https://github.com/waps101/AlbedoMM - FaceVerse: https://www.liuyebin.com/faceverse/faceverse.html - INFACE: https://github.com/tillns/INFACE ## Body Models: - SMPL: A skinned Multi-Person Linear Model: http://smpl.is.tue.mpg.de/ - SMPL-X: Expressive Body Model - SMPL with articulated hands and expressive face: https://smpl-x.is.tue.mpg.de/ - MPII Human Shape Model: http://humanshape.mpi-inf.mpg.de/ - GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models: https://github.com/google-research/google-research/tree/master/ghum - STAR: Sparse Articulated Human Body Model: http://star.is.tue.mpg.de/ ## Other Models: - The York Ear Model: https://www-users.cs.york.ac.uk/~nep/research/YEM/ - SMAL A Skinned Multi-Animal Linear Model of 3D Animal Shape http://smal.is.tue.mpg.de/ - CAFM: A 3D Morphable Model for Animals https://github.com/sunyifan2017/CAFM-A-3D-Morphable-Model-for-Animals - CAPE: Clothed Auto Person Encoding https://cape.is.tue.mpg.de/ # Registration / model construction / alignment: - Large Scale Facial Model (LSFM) pipeline: https://github.com/menpo/lsfm - Basel Face Registration pipeline: https://github.com/unibas-gravis/basel-face-pipeline - Shape-aware surface reconstruction based on a statistical shape model prior: https://github.com/fbernardpi/sparsePdmFitting - Fast Linear Assignment Problem solver: https://de.mathworks.com/matlabcentral/fileexchange/48448-fast-linear-assignment-problem-using-auction-algorithm-mex - NmfSync for making pairwise (partial) permutations cycle-consistent (relevant for multi-matching): https://github.com/fbernardpi/NmfSync - Transformation Synchronisation method for making pairwise transformations cycle-consistent (e.g. for solving the Generalised - - Procrustes Problem, or general multi-image registration): https://sites.google.com/site/fbernardpi/code - Learning linear shape deformations with local support: https://sites.google.com/site/fbernardpi/code - 3D Face Modeling from Diverse Raw Scan Data: https://github.com/liuf1990/3DFC - 3D Growth Curves https://github.com/harrymatthews50/3DGrowthCurves - Registration by Surface-to-Surface Translation https://
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Max Planck Institute for Intelligent Systems
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Iacopo Masi · Sapienza, University of Rome · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8b11a6bc68695a46, topic:computer-vision, topic:3d-reconstruction, topic:face-recognition