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ECCV2022-RIFE Alternatives
Similar projects and alternatives to ECCV2022-RIFE
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InfluxDB
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WorkOS
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arXiv2021-RIFE
Discontinued Real-Time Intermediate Flow Estimation for Video Frame Interpolation [Moved to: https://github.com/hzwer/ECCV2022-RIFE]
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ECCV2022-RIFE reviews and mentions
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AI Frame interpolation Question
Check out RIFE.
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Enhancing ControlNet-m2m Video Smoothness with Multi-Level Frame Interpolation
Using Flowframes with the RIFE model, run 2x interpolation on a folder of video frames.
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New NVIDIA Driver with RTX Video Super Resolution is Now Available!
Personally I have mine set to use RIFE AI via TensorRT for frame interpolation(x2), if the FPS is 30 or less.
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I just added ControlNet BATCH support in automatic1111 webui and ControlNet extension, and here's the result. Read comment to support the Pull Requests so you can use this technique as soon as possible.
Oh now that I saw this comment, I started to investigate frame interpolation techniques using AI and found this: https://github.com/megvii-research/ECCV2022-RIFE
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How can indie devs make 2d animations quickly, or streamline the process?
Yes but you need to use a different AI first. There are multiple AI like RIFE (there are apps for it if you don't like code) that will smooth out your animation. Then you can use those frames with Novel AI to get a more organic look in the end.
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ECCV2022-RIFE VS FluidFrames.RIFE - a user suggested alternative
2 projects | 4 Feb 2023
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Inpainting every frame using AE + SD
To have more smooth effect you can reduce frame per second and add FILM or RIFE between frames.
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I inserted myself into stable diffusion, not perfect but it kinda looks my face
Interpolated with https://github.com/megvii-research/ECCV2022-RIFE
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Stable Diffusion Animation
Sure! This would be my approach (and tools) if I was smarter:
If you make the generations with some similarities and use the right interpolation, you don't need 1000 images like my video and can obtain a smooth movement.
First, generate images with some kind of visual anchor (background, an object). You can use frames generated using the previous frame as reference image, or the same seed but different prompt/parameters, or you can go wild using img2img/inpainting (btw I struggle to find an inpainting tool for Stable Diffusion: they seem to be just img2img with a mask, without contest).
Then pass the generated images to one of the most recent interpolation algorithms, like this one https://github.com/megvii-research/ECCV2022-RIFE or the one used in the replicate we are commenting on (someone posted this reference: https://github.com/google-research/frame-interpolation )
The first link reports some free and paid implementation and a Colab, so depending on how deep you want to go, you have a lot of choices.
In the end, I'd use some good app to stabilize the image if needed, to get a more "calm" look. I use Luma Fusion, but it's a paid app (cheap, one-time payment, for iOS). I'm sure there are a ton of open-source implementations.
It's an approach similar to the animation on replicate, but it allows a lot of fine-tuning and you can add new animation ideas/tools to the process.
Nothing revolutionary, but I hope it helps!
> You have generated some pretty cool designs.
Thanks! I put in a lot of work in the last weeks. The project has a mission, I wrote something, but it's not ready yet. I believe it will be with the launch of Dall-E 8 :-/
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Help with interpolating "missing" frames from source video
You'd probably get way better results by using something like RIFE to do interpolation and recreate missing frames, instead of minterpolate. I understand though that it's more effort as you'll need to install and setup RIFE.
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Stats
hzwer/ECCV2022-RIFE is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ECCV2022-RIFE is Python.
Popular Comparisons
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