Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3...
Traditional approaches for learning 3D object categories have been
predo...
Our goal is to learn a deep network that, given a small number of images...
We learn a latent space for easy capture, semantic editing, consistent
i...
We propose a generative model of 2D and 3D natural textures with diversi...
We develop PlatonicGAN to discover 3D structure of an object class from ...
The comprehensive representation and understanding of the driving enviro...
We tackle the problem of object detection and pose estimation in a share...
As many different 3D volumes could produce the same 2D x-ray image, inve...