Lune

CVPR2024Top-tier venue

MonoNPHM: Dynamic Head Reconstruction from Monocular Videos

Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner

2024Year
17Top-tier citations

Abstract

Figure 1 . We present MonoNPHM, a neural-field-based parametric head model (left), for dynamic 3D head reconstruction in monocular videos (right). On the left we demonstrate the effect on a reconstructed human head, by individually varying shape (top box), expression (middle box) and appearance (bottom box). The right-hand side illustrates three input RGB frames (top row), and our reconstructed geometry (bottom row). We also show the reconstructed appearance under estimated lighting conditions, which is the basis of our reconstruction.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 5efcdf52-2143-4993-9b14-a4e8379ae878

Cited by top-tier papers17

Ask how each one uses it

Builds on49

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines