/Depth-Map-Decomposition

Primary LanguagePythonMIT LicenseMIT

(ECCV 2022) Depth Map Decomposition for Monocular Depth Estimation

Jinyoung Jun, Jae-Han Lee, Chul Lee, and Chang-Su Kim

Official pytorch implementation for "Depth Map Decomposition for Monocular Depth Estimation" [arxiv].

  

Instruction

  1. For evaluation on NYUv2, download and follow the instructions in the "Prepare NYU Depth V2 test set" section from (https://github.com/cleinc/bts).

  2. Move nyu_depth_v2 folder to root/ and download our model parameters to root/. Models with 'HRWSI' mean that the model is trained with both NYUv2 and HR-WSI datasets.

  3. Run with

cd root
python evaluation.py --ckpt $model_path$

Reference

@article{jun2022depth,
  title={Depth Map Decomposition for Monocular Depth Estimation},
  author={Jun, Jinyoung and Lee, Jae-Han and Lee, Chul and Kim, Chang-Su},
  journal={arXiv preprint arXiv:2208.10762},
  year={2022}
}