We introduce light diffusion, a novel method to improve lighting in
port...
We propose a method to learn a high-quality implicit 3D head avatar from...
Lighting understanding plays an important role in virtual object composi...
We, as human beings, can understand and picture a familiar scene from
ar...
We propose VoLux-GAN, a generative framework to synthesize 3D-aware face...
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
In this paper, we address the problem of building dense correspondences
...
The light stage has been widely used in computer graphics for the past t...
The light transport (LT) of a scene describes how it appears under diffe...
We present a learning-based technique for estimating high dynamic range
...
This paper presents HITNet, a novel neural network architecture for real...
We describe a novel approach for compressing truncated signed distance f...
Efficient rendering of photo-realistic virtual worlds is a long standing...
Computational stereo has reached a high level of accuracy, but degrades ...
Volumetric (4D) performance capture is fundamental for AR/VR content
gen...
Motivated by augmented and virtual reality applications such as telepres...
This paper presents StereoNet, the first end-to-end deep architecture fo...
In this paper we present ActiveStereoNet, the first deep learning soluti...