# Head Reconstruction from Internet Photos

arXiv: https://arxiv.org/abs/1809.04763 · HTML: https://mlsanity.com/paper/1809.04763/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Sep 2018.

## Built on by (most cited first, 5 of 5)

- [NeROIC: Neural Rendering of Objects from Online Image Collections](https://mlsanity.com/paper/2201.02533/) (2022)
- [PersonNeRF: Personalized Reconstruction from Photo Collections](https://mlsanity.com/paper/2302.08504/) (2023)
- [BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs](https://mlsanity.com/paper/2203.05908/) (2022)
- [Democratizing the Creation of Animatable Facial Avatars](https://mlsanity.com/paper/2401.16534/) (2024)
- [TimeWalker: Personalized Neural Space for Lifelong Head Avatars](https://mlsanity.com/paper/2412.02421/) (2024)

## 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.