AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins (by shariqfarooq123)
Practical-RIFE
We are developing more practical approach for users based on RIFE. (by hzwer)
AdaBins | Practical-RIFE | |
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3 | 5 | |
673 | 439 | |
- | - | |
0.0 | 8.6 | |
almost 2 years ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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.
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.
Practical-RIFE
Posts with mentions or reviews of Practical-RIFE.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-04.
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I improved the frame inference app for anime, check https://github.com/steelywing/Practical-RIFE if you have interest.
It is based on https://github.com/hzwer/Practical-RIFE
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Practical-RIFE VS FluidFrames.RIFE - a user suggested alternative
2 projects | 4 Feb 2023
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Need help finding an apk
There are way better options for both video enhancing and frame interpolation, better as in free, you'll find a gold mine on GitHub, the one I can vouch for frame interpolation is RIFE, take a look a this video, originally filmed at 15fps and interpolated to 30fps.
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Robot dance animation with Robo-Diffusion (1024x576)
As mentioned earlier, I use RIFE to interpolate the generated frames to minimize flickering and thus results a smoother output.
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I DON'T KNOW WHAT I'M DOING: VQGAN+CLIP, limited palette, AdaBins, and RIFE
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation * https://arxiv.org/pdf/2011.06294v6.pdf * https://github.com/hzwer/Practical-RIFE
What are some alternatives?
When comparing AdaBins and Practical-RIFE you can also consider the following projects:
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
FluidFrames.RIFE - FluidFrames.RIFE | video AI frame-generation app
ZoeDepth - Metric depth estimation from a single image
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
DiverseDepth - The code and data of DiverseDepth