0. 前言 本节中,我们将介绍 VQ-GAN (Vector Quantized Generative Adversarial Network) 和 ViT VQ-GAN,它们融合了变分自编码器 (Variational Autoencoder, VAE)、Transformer 和生成对抗网络 (Generative Adversarial Network, GAN) 的思想,VQ-GAN 是 Muse (Google 提出的文本生成图像生成模型)的关键组成部分。 1....
使用Transformer 的一个缺点是非常吃显存,单卡 12GB 最大只能支持16\times16的序列长度——也就是说,如果编码器下采样了m次,那么输入图像最大只能是(16\cdot 2^m)\times(16\cdot 2^m). 为了生成更大分辨率的图像,作者把 Transformer 用滑动窗口的形式使用,如下图所示: 依靠这些改进,VQGAN 能够生成百万像素...
Quantized Transformer 论文 地址。本文主要是针对Transformer做了一些1-bit,2-bit和8-bit的实验,量化的时候可以在两个地方进行,一种是针对网络中的参数,这个在文中叫做针对weights进行量化,如self-attention… weizier Stable Diffusion——LoRA、LyCORIS 模型 7号床 基于QuantML-Qlib框架运行时序SOTA模型PatchTST用于金...
Motivated by this success, we explore a Vector-quantized Image Modeling (VIM) approach that involves pretraining a Transformer to predict rasterized image tokens autoregressively. The discrete image tokens are encoded from a learned Vision-Transformer-based VQGAN (ViT-VQGAN). We first propose ...
We propose Vector-quantized Image Modeling (VIM), which pretrains a Transformer to predict image tokens autoregressively, where discrete image tokens are produced from improved ViT-VQGAN image quantizers. With our proposed improvements on image quantization, we demonstrate superior results on both ima...
a vector transformer configured to transform the second vector, a lattice quantizer configured to lattice quantize the transformed second vector; and a reverse transformer configured to reverse transform the lattice quantized transformed second vector, such that the first n components of a reverse transfo...
When a reconstructed current picture is needed for subsequent motion estimation/compensation, an inverse quantizer (376) performs inverse quantization on the quantized spectral data coefficients. An inverse frequency transformer (366) performs an inverse frequency transform, producing reconstructed prediction ...
TimeVQVAE is a robust time series generation model that utilizes vector quantization for data compression into the discrete latent space (stage1) and a bidirectional transformer for the prior learning (stage2). Notes The implementation has been modified for better performance and smaller memory consum...
Forbid to get quantized vector from ChunkManager (milvus-io#24334) May 24, 2023 tools upgrade Go 1.18 in go.mod (milvus-io#18165) Aug 1, 2022 .clang-format Re-format cpp code (milvus-io#22513) Mar 2, 2023 .clang-tidy Optimize rounding distances, avoid promoting to double (milvus-io...
144Citations 1Altmetric Metrics Abstract Perfect vortex beams are the orbital angular momentum (OAM)-carrying beams with fixed annular intensities, which provide a better source of OAM than traditional Laguerre-Gaussian beams. However, ordinary schemes to obtain the perfect vortex beams are usually bul...