make-a-video-pytorch
NeROIC
| make-a-video-pytorch | NeROIC | |
|---|---|---|
| 6 | 4 | |
| 1,843 | 910 | |
| - | 3.3% | |
| 3.4 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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make-a-video-pytorch
- How do I get this Python machine learning source code file to run?
- Imagic ( Google's Text-Based Image Editing ) implemented in Stable Diffusion
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An AI that generates videos from text! | Make-A-Video Explained
► Pytorch implementation: https://github.com/lucidrains/make-a-video-pytorch
- New text2video and img2video model from Meta - someone implement this with SD please
- Lucidrains / Make-a-Video-PyTorch
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Make-A-Video is a state-of-the-art AI system that generates videos from text
Amazing. And lucidrains is on the case as well: https://github.com/lucidrains/make-a-video-pytorch
NeROIC
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Meet NeROIC: An Efficient Artificial Intelligence (AI) Framework For Object Acquisition Of Images In The Wild
Quick Read: https://www.marktechpost.com/2022/12/25/meet-neroic-an-efficient-artificial-intelligence-ai-framework-for-object-acquisition-of-images-in-the-wild/ Paper: https://arxiv.org/pdf/2201.02533.pdf Project: https://formyfamily.github.io/NeROIC/ Github: https://github.com/snap-research/NeROIC
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Make-A-Video is a state-of-the-art AI system that generates videos from text
I actually have been trying it out this week, and in fact it's currently trying to process the video generation, like their example shows. While I was able to follow their steps for training using their dataset, and generate the lighting/depth maps for the milkcarton example, the video generation is taking a long time (over 24hours, using a 3070Ti with 8GB VRAM).
From what I understand with NeROIC, it's not particularly meant to be able to generate an 3D model that can be imported into Blender (or other software). It requires more work to take the meshes it generates to do something with it. See https://github.com/snap-research/NeROIC/issues/10
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From a few images to a 3D model with AI!
►Code: https://github.com/snap-research/NeROIC
What are some alternatives?
video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
Clip-Forge
text2mesh - 3D mesh stylization driven by a text input in PyTorch
DALLE2-video - Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers
stable-diffusion
ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.
phenaki - A phenaki reproduction using pytorch.