VECTOR QUANTIZED AUTO-ENCODER CODEBOOK LEARNING FOR MANUFACTURING DISPLAY EXTREME MINOR DEFECTS DETECTIONA system including: a memory, an encoder, a decoder, and a processor, the processor being connected to the
这个论文引入 VQGAN 的思想进行图像修复。作者认为,现有的夜间图像恢复方法效果不好是因为缺乏稳定和可靠的先验知识。为了解决这个问题,论文引入了向量量化(VQ)代码簿作为一个可靠和高质量的外部特征库,为纯…
importvector_quantize_pytorchasvqimporttorcha=torch.FloatTensor([-0.1,0.5,0.2,0.33,-0.6,0.2]).view(1,3,2)print('a=',a)quantizer=vq.VectorQuantize(dim=2,codebook_size=6)quantized,indices,loss=quantizer(a)print('quantized',quantized)print('indices',indices)print('loss',loss) 输入为一个三维...
Assuming that the stream x is the input to a quantizer, then the corresponding values from the output stream y are obtained by a reference to the quantizer codebook. According to Shannon (1948), the amount of uncertainty R(x,y) of a value of x when we receive its quantized counterpart ...
quantized using a non-uniform scalar codebook with a proper transformation function, while the direction of the latent vector is quantized using a trainable Grassmannian codebook. A multi-rate codebook design strategy is also developed by introducing a codeword selection rule for a nested codebook ...
Last commit message Last commit date Latest commit History 8 Commits Figures models utils README.md inference_vqlol.py test_metric.py README This is the office implementation ofVQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook, AAAI2024. ...
Image Quantization。给定输入图片 256x256 ViT-VQGAN将其编码为32x32的离散codes(8倍下采样),而codebook的大小为8192 Vector-quantized Image Modeling (VIM)。训练transformer来自回归地预测32x32=1024个token,若是 class-conditioned 图片生成,跟vqgan一样把类别id的token放在图片token前面(输入模型)。加分类头是为了...
import torch from vector_quantize_pytorch import VectorQuantize vq = VectorQuantize( dim = 256, codebook_size = 256, use_cosine_sim = True # set this to True ) x = torch.randn(1, 1024, 256) quantized, indices, commit_loss = vq(x) # (1, 1024, 256), (1, 1024), (1,) Expiring...
features. They achieved their best results, i.e., an error rate of 8.6%, using signed differences quantized with 128code vectorsalong with LBP features. The experimental results indicate that such an approach is likely to achieve high performance if attempted for the classification of fabric ...
一、Vector-Quantized Images with ViT-VQGAN 二、Vector-Quantized Image Modeling Experiment 一、重建 二、生成 三、无监督学习 论文地址:Vector-quantized Image Modeling with Improved VQGAN github:(不知道是不是官方的)GitHub - thuanz123/enhancing-transformers: An unofficial implementation of both ViT-VQGA...