Insta-DM
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021) (by SeokjuLee)
AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins (by shariqfarooq123)
| Insta-DM | AdaBins | |
|---|---|---|
| 1 | 3 | |
| 221 | 673 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months 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.
Insta-DM
Posts with mentions or reviews of Insta-DM.
We have used some of these posts to build our list of alternatives
and similar projects.
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Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
The official PyTorch code is available here: https://github.com/SeokjuLee/Insta-DM
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 Insta-DM and AdaBins you can also consider the following projects:
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
Practical-RIFE - We are developing more practical approach for users based on RIFE.
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"
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
ZoeDepth - Metric depth estimation from a single image
DiverseDepth - The code and data of DiverseDepth