DiverseDepth
The code and data of DiverseDepth (by YvanYin)
AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins (by shariqfarooq123)
| DiverseDepth | AdaBins | |
|---|---|---|
| - | 3 | |
| 216 | 673 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DiverseDepth
Posts with mentions or reviews of DiverseDepth.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning DiverseDepth yet.
Tracking mentions began in Dec 2020.
AdaBins
Posts with mentions or reviews of AdaBins.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-27.
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FileNotFoundError
if os.path.exists("AdaBins") is not True: gitclone("https://github.com/shariqfarooq123/AdaBins.git")
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I DON'T KNOW WHAT I'M DOING: VQGAN+CLIP, limited palette, AdaBins, and RIFE
AdaBins: Depth Estimation using Adaptive Bins * https://github.com/shariqfarooq123/AdaBins * https://arxiv.org/abs/2011.14141
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
I was curious what would happen if I ran a few of these models on the same input and calculated the average. So, I ran (1) [AdaBins](https://github.com/shariqfarooq123/AdaBins) (NYU + KITTI models), (2) [DiverseDepth](https://github.com/YvanYin/DiverseDepth), (3) [MiDaS](https://github.com/intel-isl/MiDaS), and (4) [SGDepth](https://github.com/ifnspaml/SGDepth), and calculated a weighted-average depth prediction.
What are some alternatives?
When comparing DiverseDepth and AdaBins you can also consider the following projects:
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Practical-RIFE - We are developing more practical approach for users based on RIFE.
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
ZoeDepth - Metric depth estimation from a single image