Realistic One-shot Mesh-based Head Avatars
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Abstract (arXiv)
We present a system for realistic one-shot mesh-based human head avatars creation, ROME for short. Using a single photograph, our model estimates a person-specific head mesh and the associated neural texture, which encodes both local photometric and geometric details. The resulting avatars are rigged and can be rendered using a neural network, which is trained alongside the mesh and texture estimators on a dataset of in-the-wild videos. In the experiments, we observe that our system performs competitively both in terms of head geometry recovery and the quality of renders, especially for the cross-person reenactment. See results https://samsunglabs.github.io/rome/
Key facts. Cited by 119 papers in the map (data through 14 Oct 2026). Builds on 54 of its 69 references that are in the map. First posted on arXiv 16 Jun 2022.
Builds on
54 of 69 references.
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50 most cited of 54 All 54 (JSON)
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Citing papers per year: 2022: 6; 2023: 33; 2024: 31; 2025: 32; 2026: 17.
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50 most cited of 119 All 119 (JSON)
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50 newest of 119 All 119 (JSON)
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12 most cited of 109 All 109 (JSON)
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12 newest of 109 All 109 (JSON)