mlsanityData to 7 Oct 2026

3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes

arXiv 2412.19849 ↗First posted 25 Dec 2024cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 22 of its 43 references that are in the map. First posted on arXiv 25 Dec 2024.

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22 of 43 references.

References · 22

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10 more
  1. 2020Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistencycited by 78
  2. 2016Scribbler: Controlling Deep Image Synthesis with Sketch and Colorcited by 77
  3. 2018Spatial Fusion GAN for Image Synthesiscited by 68
  4. 20163D Face Reconstruction by Learning from Synthetic Datacited by 64
  5. 2017Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translationcited by 56
  6. 2020Edge-aware Graph Representation Learning and Reasoning for Face Parsingcited by 26
  7. 2020Cross-modal Deep Face Normals with Deactivable Skip Connectionscited by 20
  8. 2016Structured Feature Learning for Pose Estimationcited by 17
  9. 2019Towards Learning Structure via Consensus for Face Segmentation and Parsingcited by 8
  10. 2020Learning 3D Face Reconstruction with a Pose Guidance Networkcited by 3

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