Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High-Quality Real Time Facial Capture Based on Single Camera   We propose a real time deep learning framework for video-based facial
expression capture. Our process uses a high-end facial capture pipeline based
on FACEGOOD to capture facial expression. We train a convolutional neural
network to produce high-quality continuous blendshape weight output from video
training. Since this facial capture is fully automated, our system can
drastically reduce the amount of labor involved in the development of modern
narrative-driven video games or films involving realistic digital doubles of
actors and potentially hours of animated dialogue per character. We demonstrate
compelling animation inference in challenging areas such as eyes and lips.

5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom