AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling

Author:

Bai Ziqian,Bagautdinov Timur,Romero Javier,Zollhöfer Michael,Tan Ping,Saito Shunsuke

Publisher

Springer Nature Switzerland

Reference56 articles.

1. Alldieck, T., Xu, H., Sminchisescu, C.: imGHUM: implicit generative models of 3D human shape and articulated pose. In: Proceedings of International Conference on Computer Vision (ICCV), pp. 5461–5470 (2021)

2. Allen, B., Curless, B., Popović, Z., Hertzmann, A.: Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis. In: Proceedings of the 2006 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 147–156 (2006)

3. Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: SCAPE: shape completion and animation of people. ACM Trans. Graph. (TOG) 24(3), 408–416 (2005)

4. Bagautdinov, T., et al.: Driving-signal aware full-body avatars. ACM Trans. Graph. (TOG) 40(4), 1–17 (2021)

5. Bhat, K.S., Twigg, C.D., Hodgins, J.K., Khosla, P., Popovic, Z., Seitz, S.M.: Estimating cloth simulation parameters from video (2003)

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