Few-Shot-Patch-Based-Training
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| Few-Shot-Patch-Based-Training | image_edit | |
|---|---|---|
| 5 | 1 | |
| 603 | 11 | |
| - | - | |
| 1.8 | 0.0 | |
| about 3 years ago | about 3 years ago | |
| C++ | Python | |
| - | - |
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Few-Shot-Patch-Based-Training
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To the people who use SD to apply different styles to videos
and here is the Code and weights: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
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Another CN test! Sorry for the swedish!
PS: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training in case you havent taken a look, works like wonders.
- InstructPix2Pix Video: "Turn the wave into trash"
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A quick demonstration of how I accomplished this animation.
Then why did you limit yourself in exactly the ways I described, by using the appropriate tools meant for video? Because it looked like shit until you pulled out ebsynth, right? Try this. It'll look even better and you won't have to deal with janky manual keyframe interpolation. That's the difference the right tool makes.
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[R] Few-Shot Patch-Based Training (Siggraph 2020) - Dr. Ondřej Texler - Link to free zoom lecture by the author in comments
Interactive Video Stylization Using Few-Shot Patch-Based Training (Siggraph 2020) Project page: https://ondrejtexler.github.io/patch-based_training/index.html Git: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
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What are some alternatives?
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
b2 - Bridging Code and Interactive Visualization in Computational Notebooks
Deep-Image-Analogy - The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pix2pix - Image-to-image translation with conditional adversarial nets
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"