10 datasets found

A dataset for training compact neural radiance fields for real-time rendering.

MonoHuman: Animatable Human Neural Field from Monocular Video

INSTA is a neural radiance field based method for photo-realistic digital avatars reconstructing.

Given a short monocular RGB video and text instructions, our method uses an image-conditioned diffusion model to edit one head image and uses the video stylization method to...

A dataset of dynamic scenes with motion blur, curated for the task of dynamic neural radiance field synthesis.

The dataset used in the paper is the Deblur-NeRF dataset, which consists of blurry training images and ground truth images.

The Nerf dataset is a collection of 3D scenes rendered using neural radiance fields.

A dataset for recovering the neural radiance fields and camera motion trajectory from a single blurry image and its corresponding event stream.

A point cloud rendering method that achieves comparable rendering performance to NeRF.

NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...