Multi-View 3D Reconstruction

ETHD is a multi-view stereo benchmark / 3D reconstruction benchmark that covers a variety of indoor and outdoor scenes. Ground truth geometry has been obtained using a high-precision laser scanner. A DSLR camera as well as a synchronized multi-camera rig with varying field-of-view was used to capture images. Source: A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos

Synthetic dataset comprising three different environments for multi-camera dynamic novel view synthesis for soccer. This dataset is made compatible for Nerfstudio, and includes data parsers with various settings to reproduce the settings of our paper "Dynamic NeRFs for Soccer Scenes" and more. The data consists of 3 synthetic scenes built using Blender. Each scene contains from 20 to 30 synchronized and calibrated cameras that capture a 4-second long scene at 25 FPS. For each scene, the downloadable data consists of images and corresponding poses. These are ready to use either with our code, either with Nerfstudio using the slightly different data parsers available in this folder. Please contact the corresponding author (sacha.lewin@uliege.be) if you need the Blender scenes.