The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Dyna: a model of dynamic human shape in motion
Abstract
To look human, digital full-body avatars need to have soft-tissue deformations like those of real people. We learn a model of soft-tissue deformations from examples using a high-resolution 4D capture system and a method that accurately registers a template mesh to sequences of 3D scans. Using over 40,000 scans of ten subjects, we learn how soft-tissue motion causes mesh triangles to deform relative to a base 3D body model. Our Dyna model uses a low-dimensional linear subspace to approximate soft-tissue deformation and relates the subspace coefficients to the changing pose of the body. Dyna uses a second-order auto-regressive model that predicts soft-tissue deformations based on previous deformations, the velocity and acceleration of the body, and the angular velocities and accelerations of the limbs. Dyna also models how deformations vary with a person's body mass index (BMI), producing different deformations for people with different shapes. Dyna realistically represents the dynamics of soft tissue for previously unseen subjects and motions. We provide tools for animators to modify the deformations and apply them to new stylized characters.
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Cites
SCAPE: shape completion and animation of people
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073207 · Cited by 1,489
Deformation transfer for triangle meshes
Sumner, R. W., & Popović, J. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015736 · Cited by 1,052
The space of human body shapes: reconstruction and parameterization from range scans
Allen, B., Curless, B., & Popović, Z. (2003) · ACM SIGGRAPH 2003 Papers · doi:10.1145/1201775.882311 · Cited by 913
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Lewis, J. P., Cordner, M., & Fong, N. (2000) · Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00 · doi:10.1145/344779.344862 · Cited by 853
The space of human body shapes: reconstruction and parameterization from range scans
Allen, B., Curless, B., & Popović, Z. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882311 · Cited by 723
FAUST: Dataset and Evaluation for 3D Mesh Registration
Bogo, F., Romero, J., Loper, M., & Black, M. J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.491 · Cited by 689
Self-citationPerformance capture from sparse multi-view video
de Aguiar, E., Stoll, C., Theobalt, C., Ahmed, N., Seidel, H.-P., & Thrun, S. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360697 · Cited by 535
Surface Capture for Performance-Based Animation
Starck, J., & Hilton, A. (2007) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2007.68 · Cited by 452
Shape and nonrigid motion estimation through physics-based synthesis
Metaxas, D., & Terzopoulos, D. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.216727 · Cited by 408
A Statistical Model of Human Pose and Body Shape
Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., & Seidel, H. ‐. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01373.x · Cited by 390
Research works printed but not linked: 5
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Cited by
Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., & J, B. M. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818013 · Cited by 3,734
Self-citationExpressive Body Capture: 3D Hands, Face, and Body From a Single Image
Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A. A., Tzionas, D., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01123 · Cited by 1,781
Self-citationAMASS: Archive of Motion Capture As Surface Shapes
Mahmood, N., Ghorbani, N., Troje, N. F., Pons-Moll, G., & Black, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00554 · Cited by 1,323
Self-citationRomero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., & Schiele, B. (2018) · 2018 International Conference on 3D Vision (3DV) · doi:10.1109/3dv.2018.00062 · Cited by 498
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Metadata
- Authors
- Pons-Moll, G., Romero, J., Mahmood, N., & Black, M. J.
- Venue
- ACM Transactions on Graphics
- Published
- 2015-07-27
- Volume
- 34
- Issue
- 4
- Pages
- 1-14
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2049462432
- Cited by
- 323
- References
- 46
- FWCI
- 27.42
- Type
- journal article
- Language
- en
- Open access
- closed
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