Identity-Expression Ambiguity in 3D Morphable Face Models
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Abstract (arXiv)
3D Morphable Models are a class of generative models commonly used to model faces. They are typically applied to ill-posed problems such as 3D reconstruction from 2D data. Several ambiguities in this problem's image formation process have been studied explicitly. We demonstrate that non-orthogonality of the variation in identity and expression can cause identity-expression ambiguity in 3D Morphable Models, and that in practice expression and identity are far from orthogonal and can explain each other surprisingly well. Whilst previously reported ambiguities only arise in an inverse rendering setting, identity-expression ambiguity emerges in the 3D shape generation process itself. We demonstrate this effect with 3D shapes directly as well as through an inverse rendering task, and use two popular models built from high quality 3D scans as well as a model built from a large collection of 2D images and videos. We explore this issue's implications for inverse rendering and observe that it cannot be resolved by a purely statistical prior on identity and expression deformations.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 3 of its 20 references that are in the map. First posted on arXiv 29 Sep 2021.
Builds on
3 of 20 references.
References · 3
- 20193D Morphable Face Models -- Past, Present and Futurecited by 269
- 2017Morphable Face Models - An Open Frameworkcited by 138
- 2020Learning Complete 3D Morphable Face Models from Images and Videoscited by 35
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Citing papers per year: 2022: 2; 2023: 0; 2024: 2; 2025: 1; 2026: 1.
6 papers.
- 2022Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguationcited by 32
- 2024Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animationcited by 15
- 2022Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlocited by 2
- 2024Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventionscited by 2
- 2025Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysiscited by 1
- 2026EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptionscited by 0
- 2026EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions2 Jul 2026
- 2025Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis12 Mar 2025
- 2024Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions24 Sep 2024
- 2024Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation31 Mar 2024
- 2022Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo29 Nov 2022
- 2022Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation8 May 2022