Skip to content
This repository has been archived by the owner on Dec 18, 2024. It is now read-only.

Commit

Permalink
Update readme
Browse files Browse the repository at this point in the history
  • Loading branch information
ranftlr committed Dec 3, 2019
1 parent c006e5c commit 9e592e1
Showing 1 changed file with 4 additions and 4 deletions.
8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,12 @@
This repository contains code to compute depth from a single image. It accompanies our [paper](https://arxiv.org/abs/1907.01341):

>Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl, Katrin Lasinger, Konrad Schindler, Vladlen Koltun
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun

The pre-trained model corresponds to `DS 4` with multi-objective optimization enabled.

### Changelog
* **[Dec 2019] Released new version of MiDaS - the new model is more accurate and robust**
* **[Dec 2019] Released new version of MiDaS - the new model is significantly more accurate and robust**
* [Jul 2019] Initial release of MiDaS

### Setup
Expand Down Expand Up @@ -42,8 +42,8 @@ file in the root folder.

Please cite our paper if you use this code:
```
@article{Lasinger2019,
author = {Ren\'{e} Ranftl and Katrin Lasinger and Konrad Schindler and Vladlen Koltun},
@article{Ranftl2019,
author = {Ren\'{e} Ranftl and Katrin Lasinger and David Hafner and Konrad Schindler and Vladlen Koltun},
title = {Towards Robust Monocular Depth Estimation: Mixing Datasets for
Zero-shot Cross-dataset Transfer},
journal = {arXiv:1907.01341},
Expand Down

0 comments on commit 9e592e1

Please sign in to comment.