3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913627931410432 |
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| author | Zhao, Dapeng Qi, Yue |
| author_facet | Zhao, Dapeng Qi, Yue |
| contents | 3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple occluded scenarios simultaneously. By introducing bump mapping, we successfully added mid-level details to coarse 3D faces. More innovatively, our method takes into account occlusion scenarios. Thus on top of common 3D face reconstruction approaches, we in this paper propose a unified framework to handle multiple types of obstruction simultaneously (e.g., hair, palms and glasses et al.).Extensive experiments and comparisons demonstrate that our method can generate high-quality reconstruction results with geometry details from captured facial images under occluded scenes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_19849 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes Zhao, Dapeng Qi, Yue Computer Vision and Pattern Recognition 3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple occluded scenarios simultaneously. By introducing bump mapping, we successfully added mid-level details to coarse 3D faces. More innovatively, our method takes into account occlusion scenarios. Thus on top of common 3D face reconstruction approaches, we in this paper propose a unified framework to handle multiple types of obstruction simultaneously (e.g., hair, palms and glasses et al.).Extensive experiments and comparisons demonstrate that our method can generate high-quality reconstruction results with geometry details from captured facial images under occluded scenes. |
| title | 3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2412.19849 |