11 datasets found

A dataset for multi-view stereo reconstruction.

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

We present MVSGaussian, a new fast generalizable Gaussian Splatting method. We evaluate our method on the widely-used DTU [1], Real Forward-facing [28], NeRF Synthetic [29], and...

The DTU MVS dataset contains 49 images of physical objects in real environments.

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.

Large scale multi-view stereopsis evaluation dataset.

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

The dataset is used for learning a multi-view stereo machine.

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.