We address the problem of generating realistic 3D motions of humans
inte...
We address efficient and structure-aware 3D scene representation from im...
Neural fields have emerged as a new paradigm for representing signals, t...
Traditional 3D scene understanding approaches rely on labeled 3D dataset...
We present Panoptic Neural Fields (PNF), an object-aware neural scene
re...
We present NeSF, a method for producing 3D semantic fields from posed RG...
With the recent growth of urban mapping and autonomous driving efforts, ...
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
We present a method for differentiable rendering of 3D surfaces that sup...
We present a method that synthesizes novel views of complex scenes by
in...
The goal of this project is to learn a 3D shape representation that enab...
The goal of this project is to learn a 3D shape representation that enab...
Computer vision models learn to perform a task by capturing relevant
sta...
Any solid object can be decomposed into a collection of convex polytopes...
Any solid object can be decomposed into a collection of convex polytopes...
Editing talking-head video to change the speech content or to remove fil...
Template 3D shapes are useful for many tasks in graphics and vision,
inc...
We present a method for training a regression network from image pixels ...
The use of rendered images, whether from completely synthetic datasets o...