← ArchivePaper2022
Groom Styles Interpolation with Features Preservation for Digital Creatures Effects
Marco Romeo, Carlos Monteagudo Manas, Hristo Arabadzhiyski, Isabela Rovira, Srijith Vasudevan, Matt Traynar
Groom style interpolation technique preserving strand features during blending between different hairstyles for digital creature effects.
Abstract
The Visual Effects industry has experienced a strong shift towards the creation of many shots with several digital creatures and complex grooms (i.e. fur and hair). It is common for these grooms to change in shape over the duration of a shot (e.g. from dry to wet), which requires specific techniques to interpolate across different sets of curves. While researchers have extensively focused on algorithms for polygonal mesh deformation, very little can be found for curves, and basic linear interpolation techniques produce unrealistic results that do not emulate the expected behavior of groom filaments changing in shape and style. In this paper we present an iterative algorithm that allows for the interpolation across different curve shapes with the ability to preserve key features like strand’s curvature and segment lengths. We also introduce the concept of partial blendshape linear interpolation to help the system to rapidly converge to the optimal solution in few iterations. We present detailed results and production use-cases in creatures’ Visual Effects.
How to read this
- Category
- Method: a curve (groom) interpolation algorithm
- Contributions
- An iterative algorithm to interpolate between different curve shapes while preserving strand curvature and segment lengths
- A partial blendshape linear interpolation concept to converge to the optimal solution in few iterations
- Production use-cases for digital-creature grooms changing shape (e.g. dry to wet)
- Context
- Positioned against the rich literature on polygonal mesh deformation, which it notes is sparse for curves, and against naive linear interpolation that yields unrealistic strand blends.
- Correctness
- Validated on creature VFX production use-cases rather than a formal benchmark; the key assumption is that preserving curvature and length yields plausible filament motion, so readers should treat the quality evidence as production examples, not quantitative comparison.
- Clarity
- Practitioner-oriented and readable; a first pass conveys the approach and motivation, a second pass clarifies the iterative scheme.
- How to read it
- Focus on why linear interpolation fails for strands and on the feature-preservation constraints; second pass on the iteration and partial-blendshape trick if you handle grooms.
Related work
- Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network 2020 / CGF
- Two-Way Coupling of Skinning Transformations and Position Based Dynamics 2023 / SCA
- Pseudo-Collisions: A Method for Preventing Fur-Skin Intersections Without Physical Simulation 2025 / DigiPro
- Embroidery and Cloth Fiber Workflows on Disney's Encanto 2022 / SIGGRAPH
Keywords
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