VQGAN-CLIP-Video
AI-Art
| VQGAN-CLIP-Video | AI-Art | |
|---|---|---|
| 1 | 1 | |
| 22 | 379 | |
| - | - | |
| 1.8 | 0.0 | |
| about 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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VQGAN-CLIP-Video
AI-Art
What are some alternatives?
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
vqgan-clip-app - Local image generation using VQGAN-CLIP or CLIP guided diffusion
neural-style-pt - PyTorch implementation of neural style transfer algorithm
feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
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.
moviepy - Video editing with Python
Neural-Style-Transfer - Pytorch implementation of Nueral Style transfer