Previous benchmarks addressed sparse 3D alignment and single image 3D reconstruction. No com- monly accepted evaluation protocol exists for dense 3D face.
sists of two main branches: i) a face video deblurring sub- network based on an encoder-decoder architecture and ii) a 3D face reconstruction and rendering
To get a high-accuracy 3D dense face shape based on 2D videos or multiple images a framework which consists of multi-reconstruction branches and a mesh re-.
Our method estimates personalized face rigs and per-image reconstructions from monocular images with good reconstruction quality and supports video
To address this problem we present a novel method for realtime dynamic 3D facial tracking and reconstruction from videos captured in uncontrolled envi-.
quality 3D face rig of an actor from just monocular video data e.g. vintage movies. dense lighting arrays to reconstruct face geometry
3D facial shape reconstruction from a single image or a video captured under “in-the-wild” conditions is still an open and challenging problem in Computer
Abstract. 3D face reconstruction is a very popular field of computer vision due to its ap- plications in social media entertainment and health.
https://studios.disneyresearch.com/wp-content/uploads/2019/03/State-of-the-Art-on-Monocular-3D-Face-Reconstruction-Tracking-and-Applications-1.pdf
Face reconstruction [23 28]