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)。加分类头是为了评估无监督学习的质量。 跟vqgan的差别: 阶段1的CNN换成ViT,因此解码器先将预测的每个token转换回8x8的图片patch,再...
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...
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...
In this paper, we proposed an improved piecewise vector quantized approximation (IPVQA). In contrast to PVQA, IPVQA involves three stages, normalizing each time subsequence to remove the mean, executing the traditional piecewise vector quantized approximation and designing a novelly suitable distance ...
Pretraining language models with next-token prediction on massive text corpora has delivered phenomenal zero-shot, few-shot, transfer learning and multi-tasking capabilities on both generative and discriminative language tasks. Motivated by this success, we explore a Vector-quantized Image Modeling (VIM...
(v\). Therefore, solving the optical flow field model requires an additional constraint on the displacement field vector. It has been proposed to add a smoothing constraint to the optical flow constraint, which assumes that the velocity of the object motion is locally smooth in most cases37. ...