56 datasets found

The dataset used for 2D image fitting and NeRF training.

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

MonoHuman: Animatable Human Neural Field from Monocular Video

The dataset used in the paper is the Blender dataset and the LLFF dataset.

The dataset used in this study for hologram generation using NeRF technique.

NeRF-Synthetic benchmark dataset, containing 8 synthetic objects with images taken from different viewpoints uniformly distributed in the hemisphere.

The dataset used in the paper for training and testing the Mip-NeRF model.

CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features

CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features

CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features

Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent...

Realistic real-time talking head synthesis with hash grid landmarks encoding and progressive multilayer conditioning

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

Multi-task view synthesis with neural radiance fields

A dataset for training and testing the RigNeRF method.

A dataset for dynamic articulated objects, used to test the proposed Knowledge NeRF method.

The dataset used in the paper for training and testing the RRM method.

Real-world camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input.

Synthetic camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input.

Blender is a 3D creation software that supports modeling, rigging, animation, rendering, and more.