This work addresses the problem of generating 3D holistic body motions from human
speech. Given a speech recording, we synthesize sequences of 3D body poses, hand …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Landmarks often play a key role in face analysis, but many aspects of identity or expression
cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more …

In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo
net with dynamic consistency checking, namely D^ 2 HC-RMVSNet, for accurate dense point …

Recent learning-based approaches, in which models are trained by single-view images
have shown promising results for monocular 3D face reconstruction, but they suffer from the …

Three-dimensional face dense alignment and reconstruction in the wild is a challenging
problem as partial facial information is commonly missing in occluded and large pose face …

This paper considers the problem of unsupervised 3D object reconstruction from in-the-wild
single-view images. Due to ambiguity and intrinsic ill-posedness, this problem is inherently …

Formulated as a conditional generation problem, face animation aims at synthesizing
continuous face images from a single source image driven by a set of conditional face …

Reconstructinga 3D face from a single image is a crucial task in numerous multimedia
applications. Face images with ground-truth 3D face shapes are scarce, so unsupervised …

Learning-based face reconstruction methods have recently shown promising performance in
recovering face geometry from a single image. However, the lack of training data with 3D …