arXiv2021-RIFE
ECCV2022-RIFE
arXiv2021-RIFE | ECCV2022-RIFE | |
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21 | 12 | |
2,558 | 4,072 | |
- | 1.5% | |
7.9 | 5.8 | |
almost 2 years ago | 2 months ago | |
Python | Python | |
MIT License | MIT License |
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arXiv2021-RIFE
- I'm trying to get Flowframes for Mac, if there is such a thing?
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Cooling issue: i7 8700
RIFE Link - https://github.com/hzwer/arXiv2020-RIFE
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
Now I see that a new model called RIFE is available: https://github.com/hzwer/arXiv2020-RIFE but I'm not sure of there are any open source frontends for it.
- These are the raw frames I got from Gaugan2, but I'll be posting modified versions in the comment section.
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Problem with points
You might be able to clean up your video frames with something like RIFE and/or Real-ESRGAN.
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I Animated half of the frames, the rest was done with a frame interpolation app. Cool right?
You mean RIFE. Dang swipe/voice dictation!
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Just a mild amount of exaggeration
That is already quickly becoming a thing. There is an AI called RIFE, which is publicly accessible for free (github repo), if you know how to use the terminal/command line, and some python you can get it working fairly easily, and it interpolates video with really good quality and efficiency.
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Raiden with Sucrose wings
The video was interpolated to 60 fps using RIFE (which explains any artifacts or distortions)
- Canon created a dual fisheye lens for a new VR video system
- VQGAN + Giger + Lovecraft + Meshuggah
ECCV2022-RIFE
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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.
What are some alternatives?
DAIN - Depth-Aware Video Frame Interpolation (CVPR 2019)
stable-diffusion-webui - Stable Diffusion web UI
vapoursynth-mvtools - Motion compensation and stuff
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
jina - ☁️ Build multimodal AI applications with cloud-native stack
sd-webui-controlnet - WebUI extension for ControlNet
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
VideoRenderer - RTX HDR modded into MPC-VideoRenderer.
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)
txt2mask - Automatically create masks for Stable Diffusion inpainting using natural language.
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime