stylized-neural-painting
rome
stylized-neural-painting | rome | |
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6 | 1 | |
1,536 | 406 | |
- | 1.0% | |
0.0 | 4.8 | |
over 2 years ago | 7 months ago | |
Python | Python | |
Creative Commons Zero v1.0 Universal | GNU General Public License v3.0 or later |
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stylized-neural-painting
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I want to create an image to image transformer but I have no idea how to get started.
I want to create a Python program that takes in an image, paints over it, then spits out the resulting image. What I want to do is almost exactly like this project, but I want to do it from scratch, and make it more attuned to people's faces, as well as add more than just oil painting, pixel art, and marker strokes.
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test
(Added Mar. 9, 2021) PaintCLIP.ipynb - Colaboratory by advadnoun. Uses Stylized Neural Painter to generate images. As of time of writing, this gave me an error message.
- I want to create a Stylized Neural Painting software
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Combine neural painting with deepbrush for 100% realistic computer-made painting?
I think stroke-based painting methods like these are neat: https://github.com/jiupinjia/stylized-neural-painting https://github.com/fogleman/primitive
- Stylized Neural Painting
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Idea for developers: Use CLIP to steer a differentiable vector graphics generator
Not exactly what you suggested, but pretty fun! Here's PaintCLIP using https://github.com/jiupinjia/stylized-neural-painting
rome
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Is there any AI that can compile several pictures of a person into a single, 3d version?
Hope https://github.com/SamsungLabs/Rome helps! Good luck!
What are some alternatives?
Primitive Pictures - Reproducing images with geometric primitives.
BlenderNeRF - Easy NeRF synthetic dataset creation within Blender
Story2Hallucination
nerfactor - Neural Factorization of Shape and Reflectance Under an Unknown Illumination
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
ml-gmpi - Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)
Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
ml-neuman - Official repository of NeuMan: Neural Human Radiance Field from a Single Video (ECCV 2022)
pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
ICON - [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals