2、DBCA(Deformable Bi-directional Cross-Attention) DBAC 结构并不复杂,如下图所示,本质是两个分支特征计算cross-attention,然后后面加了一个deformable conv,这里不过多介绍。 实验部分可以参考作者论文,这里也不过多介绍。
这不就是在做聚类嘛,聚类中心就是 codebook 里面的 codes. 所以我们其实不必使用 vq 项来训练 codebook,而是直接像K-Means那样更新聚类中心:e_i=\frac{1}{n_i}\sum_{j=1}^{n_i} z_{i,j} \\其中z_{i,1},\ldots,z_{i,n_i}是编码器所有输出中被分配给e_i的n_i个...
Once the codebook size is fixed, then the mean square error (MSE) reaches a value, beyond which it cannot be reduced by using codebook generation algorithms. In this paper, we are proposing modified genetic algorithm giving the optimal value, but it depends on the initial selection of the ...
这种模型称为Vector Quantized VAE(VQ-VAE),能够用于生成高质量的图像,同时避免了传统连续潜空间VAE经常出现的一些问题,比如后验坍塌(由于过强的解码器导致学到的潜空间不具有信息性)。 离散潜空间指的是一个学习到的向量列表 (codebook),每个向量与相应的索引关联。在VQ-VAE中,编码器的任务是将输入图像压缩为一...
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. ...
As demonstrated in the paper, the codebook matrices are low-dimensional, spanning only a few dimensions: Projecting the codes onto the first 3 principal components shows that the codes typically tile continuous 1- or 2-D manifolds: Releases1 ...
Vector quantization (VQ) is examined as a technique to enhance performance in subband coding of speech at 9.6 kb/s. The set of short-term subband power levels is vector quantized, providing low-rate side information to control the coding of the subband signals. Each subband signal is then ve...
We first propose multiple improvements over vanilla VQGAN from architecture to codebook learning, yielding better efficiency and reconstruction fidelity. The improved ViT-VQGAN further improves vector-quantized image modeling tasks, including unconditional, class-conditioned image generation and unsupervised ...
改进版的VQGAN,受到NLP任务重autoregressive pretraining的启发,利用VIT进行离散化编码和解码,同时也优化了codebook的学习,极大地提升了vector-quantized Image modeling的效果 Method 方法主要分为两个阶段,如Figure 1所示。第一阶段是Image Quantization,借助ViT,将256x256的图片编码成32x32的离散latent codes,codebook si...
19. LlamaGen《Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation》 20. CVQ-VAE《Online Clustered Codebook》 1. CogView 《CogView: Mastering Text-to-Image Generation via Transformers》 2. CogView2《CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers...