9 datasets found

A dataset for multi-view stereo reconstruction.

The ETH3D dataset is a large-scale dataset for multi-view stereo reconstruction. It contains 120 scenes with complex geometric layouts.

Recurrent multi-view stereo network for high-resolution depth inference

Depth inference for unstructured multi-view stereo

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

The Tanks and Temples dataset is a benchmark for 3D reconstruction from multi-view images. It consists of 50 images of 10 scenes, each with 5 views.

The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

The DTU dataset is a large-scale dataset for multi-view stereo depth inference. It contains over 100 scans taken under 7 different lighting conditions and fixed camera...

The DTU dataset is a large-scale dataset for 3D reconstruction and editing. It contains 15 scenes with images of 1600x1200 resolution and accompanying foreground masks.