zeyuyun1
Follow
Stars
End-to-end optimized image compression
lavoiems / simplicial-embeddings
Forked from vturrisi/solo-learnsolo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE
Vector Quantized VAEs - PyTorch Implementation
Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2022.
An implementation of the Image Quilting for Texture Synthesis algorithm by Alexei A. Efros and Willian T. Freeman
Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically similar, but not exactly identical).
A curated list of video stabilization methods
Implementation of A. Efros and T. Leung, 'Texture Synthesis by Non-parametric Sampling' (1999)
Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)
An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
implementation of a phase-based video motion processing algorithm in python
Python (incomplete) re-implementation of SIGGRAPH 2013 paper “Phase based video motion processing”.
Python implementation of " Phase based motion processing " described in 2013 SIGGRAPH paper by Wadhwa, Rubinstein, Durand, and Freeman.
CodiMD - Realtime collaborative markdown notes on all platforms.
😎 A curated list of awesome real-world adversarial examples resources
Fast Block Sparse Matrices for Pytorch
Generating Moving MNIST GIFs with captions. Credits to Tencia(https://gist.github.com/tencia/afb129122a64bde3bd0c) and Prateek(https://gist.github.com/praateekmahajan/b42ef0d295f528c986e2b3a0b31ec1fe)
PyTorch implementation, with CUDA support, of the sparse coding algorithm based on the paper by Olshausen and Field (1997).
Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Beck, M. Elad, (2018). On Multi-Layer Basis Pursuit, Efficient…
Hierarchical sparse coding using greedy matching pursuit.
Simple and readable code for training and sampling from diffusion models
Incorporate Riemannian Geometry into the latent space of Variational Autoencoders
Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018