在说明这一点之前,我们必须要对 VQ-VAE 的隐空间有充分的理解。设输入图像x\in\mathbb R^{3\times H\times W},其编码器输出为z_e(x)\in\mathbb R^{c\times h\times w},量化操作的索引矩阵记作\text{index}(x)\in\mathbb N^{h\times w}. 一个误解是 VQ-VAE 的隐空间是所有\text{index}(x)...
VQ-VAE使用了一种叫做"straight-through estimator"的技术来完成梯度复制。这种技术是说,前向传播和反向传播的计算可以不对应。你可以为一个运算随意设计求梯度的方法。基于这一技术,VQ-VAE使用了一种叫做sg(stop gradient,停止梯度)的运算: sg(x)=\left\{\begin{array}{l}x\left(\textit{in forward propagatio...
Vector Quantized VAE A PyTorch implementation ofContinuous Relaxation Training of Discrete Latent Variable Image Models. Ensure you have Python 3.7 and PyTorch 1.2 or greater. To train theVQVAEmodel with 8 categorical dimensions and 128 codes per dimension run the following command: ...
VQ-GAN (Vector Quantized GAN) 是于 2020 年提出的生成对抗网络 (Generative Adversarial Network, GAN) 架构,这种模型架构建立在以下基础上:变分自编码器 (Variational Autoencoder, VAE)学习到的表示可以是离散的,而不仅是连续的。这种模型称为Vector Quantized VAE(VQ-VAE),能够用于生成高质量的图像,同时避免了...
Vector Quantized Models for Planning 发表时间:2021(ICML 2021) 文章要点:文章把MCTS扩展到带随机状态转移和部分可观测下。主要做法就是用VQ-VAE(参看Neural Discrete Representation Learning)自编码器来捕获一个动作可能造成的不同状态转移,然后和之前一样planning。具体来说,之前的muzero(参看Mastering atari, go, ...
randn(1, 1024, 256) quantized, indices, commit_loss = vq(x) # (1, 1024, 256), (1, 1024), (1,) Orthogonal regularization loss VQ-VAE / VQ-GAN is quickly gaining popularity. A recent paper proposes that when using vector quantization on images, enforcing the codebook to be orthogonal...
The Vector-Quantized Variational AutoEncoder (VQ-VAE) is the foundation of the proposed method. The VQ-VAE model is trained to learn the non-linear mapping of degraded panchromatic image patches to high-resolution patches. This approach ensures that high-resolution patches can be recovered from ...
One recent, commonly used model that quantizes images into integer tokens is theVector-quantized Variational AutoEncoder(VQVAE), a CNN-based auto-encoder whose latent space is a matrix of discrete learnable variables, trained end-to-end.VQGANis an improved version of this that introduces anadver...
2D image using a combination of Vector-Quantized Variational AutoEncoder(VQ-VAE), size-invariant Generative Adversarial Networks(GAN), and Image Transformer... J Phan,L Ruspini,G Kiss - 《Journal of Petroleum Science & Engineering》 被引量: 0发表: 2022年 VQ VQ Encoder DecoderEncoder Decoder We...
1. VQVAE《Neural discrete representation learning》NeurIPS 2017 2. VQGAN 《Taming Transformers for High-Resolution Image Synthesis》CVPR 2021 3. ViT-VQGAN 《Vector-quantized Image Modeling with Impr…