maeyounes/SparseCraft-dataset
SparseCraft [ECCV'24] SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization Project DTU Dataset We provide preprocessed DTU data and results for the tasks of novel view synthesis and surface reconstruction. It contains the following directories: sparsecraft_data ├── nvs # Novel View Synthesis task data and results │ └── mvs_data │ ├── scan103 │ ├── ... │ └── results # Results for… See the full description on the dataset page: https://huggingface.co/datasets/maeyounes/SparseCraft-dataset.
SparseCraft
[ECCV'24] SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization
Project | Paper | Code
DTU Dataset
We provide preprocessed DTU data and results for the tasks of novel view synthesis and surface reconstruction.
It contains the following directories:
sparsecraft_data
├── nvs # Novel View Synthesis task data and results
│ └── mvs_data
│ ├── scan103
│ ├── ...
│ └── results # Results for training using 3, 6, and 9 views
│ ├── 3v
│ │ ├── scan103
│ │ ├── ...
│ ├── 6v
│ │ ├── scan103
│ │ ├── ...
│ └── 9v
│ ├── scan103
│ ├── ...
└── reconstruction # Surface Reconstruction task data and results
└── mvs_data # Surface reconstruction data uses a different set of scans and views than the novel view synthesis task
├── set0
│ ├── scan105
│ ├── ...
└── set1
├── scan105
├── ...
└── results
├── set0
│ ├── scan105
│ ├── ...
└── set1
├── scan105Note
The DTU dataset was preprocessed as follows:
- The original data is from the NeuS Project. We use the same camera poses and intrinsics as the original data.
- To obtain MVS data, we used the Colmap initialized with the original camera poses and intrinsics.
- We provide a script that achieves this in
scriptsthat you can run using the following command. Note that you will need to have Colmap installed on your machine:
