frame-interpolation
VideoX
frame-interpolation | VideoX | |
---|---|---|
74 | 7 | |
2,696 | 935 | |
2.6% | 1.8% | |
0.0 | 3.9 | |
18 days ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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frame-interpolation
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Aging with AI from age 9 to age 99.
- Lastly I used FILM, an image interpolation library to interpolate between images
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AnimDiff
1) generate video using https://github.com/camenduru/animatediff 2) upscale using SD-CN https://github.com/volotat/SD-CN-Animation 3) interpolate frames using https://github.com/google-research/frame-interpolation 4) add audio using https://huggingface.co/spaces/suno/bark
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What is the current best way to make sequence images for animation that keep the art style consistent?
I am aware of interpolation as well (https://github.com/google-research/frame-interpolation) where you give it two images and it generates the images in between to get there but not sure I have good enough images to attempt to use this yet.
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The AI will make You an Anime in Real Time
Super neat though. With some interpolation (possibly this Google Research one I just found via ChatGPT), it wouldn't be too bad to dump a video in and have it process in the background.
- my older video, without controlnet or training
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The secret to REALLY easy videos in A1111 (easier than you think)
FILM repo by Google Research, they made this very cool interpolation method, my favourite so far. It's a pain to set up, didn't manage to run it on my local machine, I'm not very smart, and I can't get "pip install tensorflow==2.6.2" to run on my Windows, so can't run the requirements, so can't run the script.. BUTTTT you can use colab here, and once you hook it up to your GDrive, you can change the path to your folder of images, and it will process and spit out the interpolated video for you. I only have free tier, and it took 16 minutes for the sample video.
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Loopback Wave Workflows (FILM, AE, Flowframes)
FILM (Frame Interpolation for Large Motion)
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More Loopback Wave + Flow, this time with realistic people
Edit: used this for the interpolation. Flow wasn't the correct word. https://github.com/google-research/frame-interpolation
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Large Motion Frame Interpolation – Google AI Blog
Also off-topic, but their github.io page has a bibtex snippet for anyone wanting to cite their work in their papers. I'm not an academic, but I still strangely appreciate the gesture.
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AI Video to Fill Missing Frames/Smooth Animation?
FILM? https://film-net.github.io/
VideoX
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Generative AI
Input Output Theme Use Case Example Platforms Text Text Marketing Copywriting, creative personalisation, SEO optimisation Jasper AI (https://www.jasper.ai/) WRITER (https://writer.com/) Video Video / Text Sales Business development agumentation, Sales coaching https://www.regie.ai/ https://www.oliv.a/ Audio Text / Audio CRM Customer service chatbots (answering tickets and queries) https://symbl.ai/ https://forethought.ai/ Audio / Text Audio / Text Talent Management Performance management, Job interviews, Coaching, training https://www.onloop.com/ https://www.converzai.com/ Text Text Legal Contract drafting, Legal validation / citations https://casetext.com/ Text Text Code creation Natural language to generate code for softwares. AI pair programmer https://mayalabs.io/ https://github.com/features/copilot https://debuild.app/ https://kombai.io/ Text Text Code Documentation Natural language to generate code for softwares. AI pair programmer https://mayalabs.io/ https://github.com/features/copilot Text Image Art Generation AI system that can create realistic images and art from a description in natural language. https://openai.com/dall-e-2/ https://midjourney.com/home/?callbackUrl=%2Fapp%2F Text Text ML Model Build, train and deploy AI models https://huggingface.co/ https://replicate.com/ Text Audio Voice Synthesis Educational platform, training, Cognitive coaching https://synthesys.io/ https://speechify.com/ Text Video Video Educational platform, training, Cognitive coaching https://www.synthesia.io/ https://github.com/microsoft/VideoX/tree/master/X-CLIP Text Image 3D modelling Storyboarding for games, 3D video modelling https://nv-tlabs.github.io/GET3D/ https://dreamfusion3d.github.io/
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General Video Recognition with AI (How AI Understands Videos)
►Code: https://github.com/microsoft/VideoX/tree/master/X-CLIP
- [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
- Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
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Stable Diffusion: Is Video Coming Soon?
The pieces are coming into place https://github.com/microsoft/VideoX/tree/master/X-CLIP
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Latest Computer Vision Research At Microsoft Explains How This Proposed Method Adapts The Pretrained Language Image Models To Video Recognition
Continue reading | Check out the paper and github link
What are some alternatives?
ebsynth - Fast Example-based Image Synthesis and Style Transfer
textual_inversion
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
sd-webui-mov2mov - This is the Mov2mov plugin for Automatic1111/stable-diffusion-webui.
Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.
optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.
MinVIS