Continuous character control with low-dimensional embeddings
暂无分享,去创建一个
Sergey Levine | Vladlen Koltun | Zoran Popovic | Jack M. Wang | Alexis Haraux | S. Levine | Z. Popovic | Jack M. Wang | V. Koltun | Alexis Haraux | Zoran Popovic
[1] J. Kalbfleisch,et al. The Analysis of Panel Data under a Markov Assumption , 1985 .
[2] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[3] Michael F. Cohen,et al. Verbs and Adverbs: Multidimensional Motion Interpolation , 1998, IEEE Computer Graphics and Applications.
[4] Katya Scheinberg,et al. Efficient SVM Training Using Low-Rank Kernel Representations , 2002, J. Mach. Learn. Res..
[5] Jessica K. Hodgins,et al. Interactive control of avatars animated with human motion data , 2002, SIGGRAPH.
[6] Okan Arikan,et al. Interactive motion generation from examples , 2002, ACM Trans. Graph..
[7] Aaron Hertzmann,et al. Style-based inverse kinematics , 2004, ACM Trans. Graph..
[8] Jehee Lee,et al. Precomputing avatar behavior from human motion data , 2004, SCA '04.
[9] Kari Pulli,et al. Style translation for human motion , 2005, SIGGRAPH 2005.
[10] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[11] David J. Fleet,et al. Priors for people tracking from small training sets , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[12] Tomohiko Mukai,et al. Geostatistical motion interpolation , 2005, SIGGRAPH '05.
[13] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[14] Hyun Joon Shin,et al. Motion synthesis and editing in low‐dimensional spaces , 2006, Comput. Animat. Virtual Worlds.
[15] Joaquin Quiñonero Candela,et al. Local distance preservation in the GP-LVM through back constraints , 2006, ICML.
[16] Hyun Joon Shin,et al. Fat graphs: constructing an interactive character with continuous controls , 2006, SCA '06.
[17] D. Lawrence. The Gaussian Process Latent Variable Model , 2006 .
[18] Liming Xiang,et al. Kernel-Based Reinforcement Learning , 2006, ICIC.
[19] Z. Popovic,et al. Near-optimal character animation with continuous control , 2007, ACM Trans. Graph..
[20] Neil D. Lawrence,et al. Learning for Larger Datasets with the Gaussian Process Latent Variable Model , 2007, AISTATS.
[21] David J. Fleet,et al. Multifactor Gaussian process models for style-content separation , 2007, ICML '07.
[22] Nancy S. Pollard,et al. Responsive characters from motion fragments , 2007, SIGGRAPH 2007.
[23] Jessica K. Hodgins,et al. Constraint-based motion optimization using a statistical dynamic model , 2007, SIGGRAPH 2007.
[24] David J. Fleet,et al. Topologically-constrained latent variable models , 2008, ICML '08.
[25] David J. Fleet,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gaussian Process Dynamical Model , 2007 .
[26] Matthias Zwicker,et al. Real-time planning for parameterized human motion , 2008, SCA '08.
[27] Alla Safonova,et al. Achieving good connectivity in motion graphs , 2008, SCA '08.
[28] Bernhard Schölkopf,et al. Sparse multiscale gaussian process regression , 2008, ICML '08.
[29] Lucas Kovar,et al. Motion graphs , 2002, SIGGRAPH Classes.
[30] David A. Forsyth,et al. Generalizing motion edits with Gaussian processes , 2009, ACM Trans. Graph..
[31] Yen-Lin Chen,et al. Interactive generation of human animation with deformable motion models , 2009, TOGS.
[32] Trevor Darrell,et al. Rank priors for continuous non-linear dimensionality reduction , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Ziv Bar-Joseph,et al. Modeling spatial and temporal variation in motion data , 2009, ACM Trans. Graph..
[34] Zoran Popović,et al. Compact character controllers , 2009, SIGGRAPH 2009.
[35] Alla Safonova,et al. Human Motion Synthesis with Optimization‐based Graphs , 2010, Comput. Graph. Forum.
[36] Risi Kondor. Diffusion Kernels , 2010 .
[37] C. Karen Liu,et al. Synthesis of Responsive Motion Using a Dynamic Model , 2010, Comput. Graph. Forum.
[38] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[39] Zoran Popović,et al. Motion fields for interactive character locomotion , 2010, SIGGRAPH 2010.
[40] Jinxiang Chai,et al. Physically valid statistical models for human motion generation , 2011, TOGS.