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3D Morphable Face Models -- Past, Present and Future

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arxiv 1909.01815 v2 pith:M3QM2WRP submitted 2019-09-03 cs.CV cs.GRcs.LG

classification cs.CVcs.GRcs.LG
keywords futuremodelschallengesfaceimagemorphableresearchactive
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In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, namely capture, modeling, image formation, and image analysis, are still active research topics, and we review the state-of-the-art in each of these areas. We also look ahead, identifying unsolved challenges, proposing directions for future research and highlighting the broad range of current and future applications.

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  1. Modelship Attribution: Tracing Multi-Stage Manipulations Across Generative Models

    cs.CV 2025-06 conditional novelty 6.0 of 10

    Modelship Attribution is defined as a new task with an 83,700-image dataset built from three face-swap models, and a transformer, MAT, that predicts the editing model sequence with 76.01% strict-match accuracy.

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