Head Reconstruction from Internet Photos
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Abstract (arXiv)
3D face reconstruction from Internet photos has recently produced exciting results. A person's face, e.g., Tom Hanks, can be modeled and animated in 3D from a completely uncalibrated photo collection. Most methods, however, focus solely on face area and mask out the rest of the head. This paper proposes that head modeling from the Internet is a problem we can solve. We target reconstruction of the rough shape of the head. Our method is to gradually "grow" the head mesh starting from the frontal face and extending to the rest of views using photometric stereo constraints. We call our method boundary-value growing algorithm. Results on photos of celebrities downloaded from the Internet are presented.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Sep 2018.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 2.
5 papers.
- 2022NeROIC: Neural Rendering of Objects from Online Image Collectionscited by 36
- 2023PersonNeRF: Personalized Reconstruction from Photo Collectionscited by 12
- 2022BabyNet: Reconstructing 3D faces of babies from uncalibrated photographscited by 1
- 2024Democratizing the Creation of Animatable Facial Avatarscited by 1
- 2024TimeWalker: Personalized Neural Space for Lifelong Head Avatarscited by 0
- 2024TimeWalker: Personalized Neural Space for Lifelong Head Avatars3 Dec 2024
- 2024Democratizing the Creation of Animatable Facial Avatars29 Jan 2024
- 2023PersonNeRF: Personalized Reconstruction from Photo Collections16 Feb 2023
- 2022BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs11 Mar 2022
- 2022NeROIC: Neural Rendering of Objects from Online Image Collections7 Jan 2022