360{\deg} Volumetric Portrait Avatar

• URL: http://arxiv.org/abs/2312.05311v1
• Date: Fri, 8 Dec 2023 19:00:03 GMT
• Title: 360{\deg} Volumetric Portrait Avatar
• Authors: Jalees Nehvi, Berna Kabadayi, Julien Valentin, Justus Thies
• Abstract summary: We propose a novel method for reconstructing 360deg photo-realistic portrait avatars of human subjects solely based on monocular video inputs. We evaluate our approach on captured real-world data and compare against state-of-the-art monocular reconstruction methods.
• Score: 20.94425848146312
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose 360{\deg} Volumetric Portrait (3VP) Avatar, a novel method for reconstructing 360{\deg} photo-realistic portrait avatars of human subjects solely based on monocular video inputs. State-of-the-art monocular avatar reconstruction methods rely on stable facial performance capturing. However, the common usage of 3DMM-based facial tracking has its limits; side-views can hardly be captured and it fails, especially, for back-views, as required inputs like facial landmarks or human parsing masks are missing. This results in incomplete avatar reconstructions that only cover the frontal hemisphere. In contrast to this, we propose a template-based tracking of the torso, head and facial expressions which allows us to cover the appearance of a human subject from all sides. Thus, given a sequence of a subject that is rotating in front of a single camera, we train a neural volumetric representation based on neural radiance fields. A key challenge to construct this representation is the modeling of appearance changes, especially, in the mouth region (i.e., lips and teeth). We, therefore, propose a deformation-field-based blend basis which allows us to interpolate between different appearance states. We evaluate our approach on captured real-world data and compare against state-of-the-art monocular reconstruction methods. In contrast to those, our method is the first monocular technique that reconstructs an entire 360{\deg} avatar.

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