这个文件来自GitHub项目 PerceptualSimilarity。 感知误差可以简单地理解为两张图片在VGG中几个卷积层输出的误差的加权和。加权的权重是可以学习的。作者使用的是已经学习好的感知误差。感知误差的初始化函数如下。其中,self.lin0等模块就是算权重的模块,self.net是VGG。 class LPIPS(nn.Module): # Learned perceptual...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Vector Quantized Generative Adversarial Networks (VQGAN) is a generative model for image modeling. It was introduced in Taming Transformers for High-Resolution Image Synthesis. The concept is build upon two stages. The first stage learns in an autoencoder-like fashion by encoding images into a low...
CLIP:github.com/openai/CLIP text encoder 是传统的 12 层 transformer,63M 参数 Disco Diffusion:github.com/alembics/dis CLIP + Guided Diffusion DALLE from OpenAI / Imagen from Google 系列闭源 DALLE (非官方实现):github.com/lucidrains/D 12B 参数 DALLE-mini:github.com/borisdayma/d 0.4B...
We release code, models, and dataset at https://github.com/joanrod/ocr-vqgan. Ground truth VQGAN OCR-VQGAN (ours) Table 1. Qualitative comparison for the task of figure reconstruc- tion. OCR-VQGAN outperforms VQGAN at capturing text and symbol details. 1. Introduction Image synthes...
https://github.com/nerdyrodent/VQGAN-CLIP/issues/164 好文要顶 关注我 收藏该文 微信分享 小丑_jk 粉丝- 8 关注- 0 +加关注 0 0 升级成为会员 « 上一篇: 文字识别(OCR)介绍与免费开源项目使用测评 » 下一篇: TVM与TensorRT部署性能对比 ...
github.com/haltakov/natural-language-image-search "Two dogs playing in the snow" "The word love written on the wall" VQGAN 生成式模型 关键是使用Transformer来把图像encoder后的编码进行了转化,学习到了图像特征的上下文关系 Taming Transformers for High-Resolution Image Synthesis ...
【JAX VQVAE/VQGAN自编码器:基于JAX的向量量化自编码器和生成对抗网络实现,支持FSQ技术,可在TPU-v3上复现VQGAN和FSQ论文结果】'jax-vqvae-vqgan - JAX实现的VQVAE/VQGAN自编码器(+FSQ)' GitHub: github.com/kvfrans/jax-vqvae-vqgan #自编码器# #VQVAE# #VQGAN# #FSQ# û收藏 ...
Patrick Esser*,Robin Rombach*,Björn Ommer * equal contribution tl;drWe combine the efficiancy of convolutional approaches with the expressivity of transformers by introducing a convolutional VQGAN, which learns a codebook of context-rich visual parts, whose composition is modeled with an autoregress...
code: https://github.com/AntixK/PyTorch-VAE (non-official) Idea 跟GAN一样,都希望进行分布之间的变换,跟AE的差别在于enc输出不再是单个隐向量z,而是z的一个分布 Background 实际上AE也可以从隐空间采样去做生成,但是它的隐空间不连续,不同标签之间的隐向量存在空隙,去做插值就会发现效果很差 Method 对一批...