CLIPstyler
neural-style-tf
| CLIPstyler | neural-style-tf | |
|---|---|---|
| 1 | 3 | |
| 286 | 3,097 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 3 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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CLIPstyler
neural-style-tf
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Anyone know of an app or a way I can take a photo and convert it into this style?
Look up Neural Style Transfer. There are many implementations.
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[D] Anyone has experience with using DeepFlow2?
I'm trying to figure out how to extract ground-truth visualisation of optical flow in a png format from .flo files but can't wrap my head around the solution. The idea is to get output like this: https://github.com/cysmith/neural-style-tf/raw/master/examples/video/opt_flow.gif Git: https://github.com/zimenglan-sysu-512/deep-flow/blob/master/deep_flow2/deepflow2.m
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Egg_irl
This comment inspired me to try and make a "Coolyori in the style of Aunt Cass" using neural-style-tf.
What are some alternatives?
ebsynth - Fast Example-based Image Synthesis and Style Transfer
animegan2-pytorch - PyTorch implementation of AnimeGANv2
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
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.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
deep-flow
deep-motion-editing - An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
rocket - ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels