DiffMorph
IntroDLPython
| DiffMorph | IntroDLPython | |
|---|---|---|
| 11 | 1 | |
| 446 | 31 | |
| - | - | |
| 0.0 | 1.2 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | - |
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DiffMorph
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Getting Started With Animation
6-10 frames per second should be enough for a smooth animation as long as you use an interpolation or morphing technique, for morph someone recommend me DiffMorph and for interpolation i like Flowframes , these are by no means your only options but simply what i like
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do you guys have any idea how it s that effect done ? I think it s some morphing , but I don t know exactly how it s made.
Maybe this done either by fantamorph or by diffmorph
- Made with StyleGAN, Diffmorph and Blender
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[P] [D] ML algorithm that can morph any two images without reference points.
Recently I made ML algorithm that can morph any two images without reference points. It works by applying so called warp maps and then optimizing them by gradient descent. You can see more info, examples and code here: https://github.com/volotat/DiffMorph
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pattern / image morphing
github.com/volotat/DiffMorph
- pattern morphing/blending -- volotat/DiffMorph by u/Another__one
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I made a ML algorithm that can morph any two images without reference points. Here is an example of how it works.
Check out its github page to see code and more examples: https://github.com/volotat/DiffMorph
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GAN-like face interpolations, but it's an actual faces. (made with DiffMorph)
I made an algorithm that can morph any two images without reference points. It's one of examples how it can be used. If you want to know more, check out its github page: https://github.com/volotat/DiffMorph
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I made an algorithm that can morph any two images without reference points. I hope it would be useful for someone here.
You can see code and more examples here: https://github.com/volotat/DiffMorph
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[P] Image morphing without reference points by applying warp maps and optimizing over them.
Code: https://github.com/volotat/DiffMorph
IntroDLPython
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A Comprehensive Guide to the Backpropagation Algorithm in Neural Networks
Also, we’ll discuss how to implement a backpropagation neural network in Python from scratch using NumPy, based on this GitHub project. The project builds a generic backpropagation neural network that can work with any architecture.
What are some alternatives?
flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
Rust-Full-Stack - Rust projects here are easy to use. There are blog posts for them also.
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
warp-plus - Get free WARP+ GBs in CloudFlare's 1.1.1.1!!
Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks
ebsynth - Fast Example-based Image Synthesis and Style Transfer
TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
curves-intersection-with-gradient-descent - Plotting points that lie on the intersection of the given curves using gradient descent.
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
Vid2Vid-for-Stable-Diffusion