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data_preprocess.md

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Datasets

Training datasets

ScanNet

  1. Download the dataset
  2. Extract and organize the dataset using pre-process script in SimpleRecon
  3. Place it in ./data/scannet

Habitat

  1. Download the dataset
  2. Render 5-frame video as in Croco. You may want to read the instructions
  3. Place it in ./data/habitat_5frame

NOTE: Following Spann3R, we render the 5-frame using aminimum covisiblity of 0.1.

ArkitScenes

  1. Download the dataset
  2. Place it in ./data/arkit_lowres

NOTE: Due to the limit of storage, we use low-resolution input to supervise Spann3R. Ideally, you can use a higher resolution i.e. vga_wide, as in DUSt3R, for training.

BlendedMVS

  1. Download the dataset
  2. Place it in ./data/blendmvg

Evaluation datasets

7 Scenes

  1. Download the dataset. You may want to use code in SimpleRecon to download the data
  2. Use pre-process code in SimpleRecon to generate pseudo gt depth
  3. Place it in ./data/7scenes

Neural RGBD

  1. Download the dataset
  2. Place it in ./data/neural_rgbd

DTU

  1. Download the dataset. Note that we render the depth as in MVSNet and use our own mask annotations for evaluation. You can download our pre-processed DTU that contains the rendered depth map for evaluation here.
  2. Place it in ./data/dtu_test