Manne Öhrström
ABSTRACT
Framestore has been producing award winning creature effects for over 20 years, with complex rigs and realistic animation being crucial elements of these creatures’ visual fidelity. The studio has a long history of building bespoke tools and technology. In this talk, we present FIRA, a machine learning based pipeline which allows for the extension of a largely proprietary stack of simulation and rigging tools into an emerging domain of realtime workflows. FIRA allows for fully simulated render resolution rigs to be used in previs and virtual production workflows and provides a portable, high performance representation of a VFX deformation rig that can easily be used in different DCCs and applications.
- Stephen W. Bailey, Dalton Omens, Paul Dilorenzo, and James F. O’Brien. 2020. Fast and Deep Facial Deformations. ACM Transactions on Graphics 39, 4 (Aug. 2020), 94:1–15. https://doi.org/10.1145/3386569.3392397 Presented at SIGGRAPH 2020, Washington D.C.Google Scholar
Digital Library
- Stephen W. Bailey, Dave Otte, Paul Dilorenzo, and James F. O’Brien. 2018. Fast and deep deformation approximations. ACM Transactions on Graphics 37, 4 (2018), 1–12. https://doi.org/10.1145/3197517.3201300 Google ScholarDigital Library
- Sarah Radzihovsky, Fernando de Goes, and Mark Meyer. 2020. FaceBaker: Baking Character Facial Rigs with Machine Learning. In ACM SIGGRAPH 2020 Talks(Virtual Event, USA) (SIGGRAPH ’20). Association for Computing Machinery, New York, NY, USA, Article 58, 2 pages. https://doi.org/10.1145/3388767.3407340Google ScholarDigital Library
- Alex Rothwell and Manne Öhrström. 2020. Fibre – Scaling Groom Dynamics at Framestore. SIGGRAPH Technical Talks(2020). https://doi.org/10.1145/3388767.3407344Google Scholar
- Steven L. Song, Weiqi Shi, and Michael Reed. 2020. Accurate face rig approximation with deep differential subspace reconstruction. ACM Transactions on Graphics 39, 4 (Jul 2020). https://doi.org/10.1145/3386569.3392491Google ScholarDigital Library
- FIRA - Portable Realtime Rig Deformation
Recommendations
Rig-space motion retargeting
EG '16: Proceedings of the 37th Annual Conference of the European Association for Computer Graphics: PostersThis paper presents a framework for transferring rig parameters from a source animation to a target model, allowing artists to further refine and adjust the animation. Most previous methods only transfer animations to meshes or joint parameters. However,...
Rig-space physics
We present a method that brings the benefits of physics-based simulations to traditional animation pipelines. We formulate the equations of motions in the subspace of deformations defined by an animator's rig. Our framework fits seamlessly into the ...
Rig Inversion by Training a Differentiable Rig Function
SA '22: SIGGRAPH Asia 2022 Technical CommunicationsRig inversion is the problem of creating a method that can find the rig parameter vector that best approximates a given input mesh. In this paper we propose to solve this problem by first obtaining a differentiable rig function by training a multi ...
Comments