Neural radiance fields (NeRFs) enable novel view synthesis with unpreced...
Volumetric scene representations enable photorealistic view synthesis fo...
Omnidirectional 360 images have found many promising and exciting
applic...
360 cameras can capture complete environments in a single shot, which
ma...
Neural networks can represent and accurately reconstruct radiance fields...
We introduce a method to convert stereo 360 (omnidirectional stereo)
ima...
Predictor combination aims to improve a (target) predictor of a learning...
We present BlockGAN, an image generative model that learns object-aware ...
Dubbing is a technique for translating video content from one language t...
We propose the first approach for the decomposition of a monocular color...
We propose a novel generative adversarial network (GAN) for the task of
...
Current unsupervised image-to-image translation techniques struggle to f...
We present a novel approach that enables photo-realistic re-animation of...
We present the first end-to-end approach for real-time material estimati...
We introduce InverseFaceNet, a deep convolutional inverse rendering fram...
Marker-based and marker-less optical skeletal motion-capture methods use...
We present a novel approach for real-time joint reconstruction of 3D sce...
Many compelling video post-processing effects, in particular aesthetic f...
Marker-based and marker-less optical skeletal motion-capture methods use...
We propose a new technique for computing dense scene flow from two handh...
Markerless motion capture algorithms require a 3D body with properly
per...
Generative reconstruction methods compute the 3D configuration (such as ...