We develop a method that recovers the surface, materials, and illuminati...
A signed distance function (SDF) parametrized by an MLP is a common
ingr...
We explore the task of zero-shot semantic segmentation of 3D shapes by u...
Existing 3D-from-2D generators are typically designed for well-curated
s...
We propose a novel approach for unsupervised 3D animation of non-rigid
d...
Existing 3D-aware image synthesis approaches mainly focus on generating ...
A very recent trend in generative modeling is building 3D-aware generato...
Neural rendering can be used to reconstruct implicit representations of
...
Videos show continuous events, yet most - if not all - video synthesis
f...
In this work, we develop a method to generate infinite high-resolution i...
In this work, we propose an approach to perform non-uniform image
interp...
In most existing learning systems, images are typically viewed as 2D pix...
An ability to grasp new concepts from their descriptions is one of the k...
We present multi-point optimization: an optimization technique that allo...
We present multi-point optimization: an optimization technique that allo...