With the rapid development of deep learning technology in the past decad...
We present a method that reconstructs and animates a 3D head avatar from...
Modern generators render talking-head videos with impressive levels of
p...
We present a diffusion-based model for 3D-aware generative novel view
sy...
Instance segmentation is a fundamental vision task that aims to recogniz...
Unsupervised generation of high-quality multi-view-consistent images and...
We present SSOD, the first end-to-end analysis-by synthesis framework wi...
A major challenge for physically unconstrained gaze estimation is acquir...
Training on synthetic data can be beneficial for label or data-scarce
sc...
Tracking segmentation masks of multiple instances has been intensively
s...
Many computer vision tasks rely on labeled data. Rapid progress in gener...
Training deep neural networks to estimate the viewpoint of objects requi...
We learn a self-supervised, single-view 3D reconstruction model that pre...
Accurately labeled real-world training data can be scarce, and hence rec...
This paper proposes to learn reliable dense correspondence from videos i...
Processing an input signal that contains arbitrary structures, e.g.,
sup...
Viewpoint estimation for known categories of objects has been improved
s...
Inter-personal anatomical differences limit the accuracy of
person-indep...
In many cases, especially with medical images, it is prohibitively
chall...
Videos contain highly redundant information between frames. Such redunda...
Unconstrained remote gaze tracking using off-the-shelf cameras is a
chal...
In this paper, we propose spatial propagation networks for learning the
...
We propose a deep learning-based framework for instance-level object
seg...