We introduce a neural network that predicts an implicit density field from a single image. It maps every location in the frustum of the image to volumetric ...

Jan 18, 2023 · We propose to predict implicit density fields. A density field maps every location in the frustum of the input image to volumetric density.

Through a novel “density field” formulation, which decouples geometry from color, architectural improvements, and a novel self-supervised training scheme, our ...

We introduce a neural network that predicts an implicit density field from a single image. It maps every location in the frustum of the image to volumetric ...

Through a novel “density field” formulation, which decouples geometry from color, architectural improvements, and a novel self-supervised training scheme, our ...

In the following, we show additional results for novel view synthesis, capturing true 3D, and depth prediction. Please also see the video for additional ...

This work proposes to predict implicit density fields by directly sampling color from the available views instead of storing color in the density field, ...

Inferring a meaningful geometric scene representation from a single image is a fundamental problem in computer vision. Approaches based on traditional depth ...

We propose to predict an implicit density field from a single image. It maps every location in the frustum of the image to volumetric density.

May 9, 2024 · Inferring a meaningful geometric scene representation from a single image is a fundamental problem in computer vision.