Nov 21, 2023 · Abstract:Neural Fields (NFs) have gained momentum as a tool for compressing various data modalities - e.g. images and videos.

Duration: 1:02:12
Posted: Jan 20, 2024

Jun 13, 2024 · Neural Radiance Fields (NeRFs) have emerged as powerful tools for capturing detailed 3D scenes through continuous volumetric representations.

May 7, 2021 · In this work, we take a different approach and compress a functional representation of 3D scenes. In particular, we introduce a method to ...

Jul 29, 2024 · Neural Radiance Fields (NeRFs) have emerged as powerful tools for capturing detailed 3D scenes through continuous volumetric representations.

Dec 31, 2023 · Abstract: The emergence of Neural Radiance Fields (NeRF) has greatly impacted 3D scene modeling and novel-view synthesis.

Sep 23, 2020 · Purposefully overfit neural networks are an efficient surface representation for solid 3D shapes. They reduced a ~38GB dataset to 640MB.

This work introduces a method to compress 3D scenes by compressing the neural networks that represent the scenes as neural radiance fields, which provides ...

Neural fields offer a new paradigm for compression which is based on function fitting (akin to some earlier works on compression via polynomial fitting, etc).

Neural Compression. Instead of transforming data, model-based compression methods compress data by fitting a model to the data. These models can be polynomials ...