Breadcrumbs vq-vae-2-pytorch / train_vqvae.pyTop File metadata and controls Code Blame executable file· 152 lines (113 loc) · 4.2 KB Raw import argparse import sys import os import torch from torch import nn, optim from torch.utils.data import DataLoader from torchvision import datasets,...
File metadata and controls Code Blame executable file· 68 lines (49 loc) · 1.92 KB Raw import argparse import pickle import torch from torch.utils.data import DataLoader from torchvision import transforms import lmdb from tqdm import tqdm from dataset import ImageFileDataset, CodeRow from vqva...
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github.com/rosinality/v 中的vqvae2实现 def encode(self, input): enc_b = self.enc_b(input) enc_t = self.enc_t(enc_b) quant_t = self.quantize_conv_t(enc_t).permute(0, 2, 3, 1) quant_t, diff_t, id_t = self.quantize_t(quant_t) quant_t = quant_t.permute(0, 3, 1...
AE, VAE, VQ-VAE 示例代码colab.research.google.com/github/OlaWod/my-machine-learning/blob/master/VAE/vae.ipynb 一、AE (AutoEncoder, 自编码器) 如图所示,autoencoder 包括 encoder 和 decoder 两部分。 encoder 把 高维的输入空间(input space) X 变换到 低维的隐空间(latent space) Z 中。
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VQ-VAE-1 pytorch code:https://github.com/nadavbh12/VQ-VAE/blob/master/vq_vae/auto_encoder.py VQ-VAE-2 paper:Generating Diverse High-Fidelity Images with VQ-VAE-2 PixelCNN paper:Conditional Image Generation with PixelCNN Decoders Towards a better understanding of Vector Quantized Autoencoders ...
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