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官方TensorFlow实现https://github.com/deepmind/sonnet/blob/v1/sonnet/examples/vqvae_example.ipynb。主要代码都写在一个notebook里。 官方实现的PyTorch复现https://github.com/MishaLaskin/vqvae。 苏剑林的TensorFlow实现。用的生成模型不是PixelCNN而是Transformer。https://github.com/bojone/vae/blob/master/vq_...
在反向传播过程中,.detach部分将被忽略。 以上就是VQ VAE的完整实现,原始的完整代码可以在这里找到: https://colab.research.google.com/github/zalandoresearch/pytorch-vq-vae/blob/master/vq-vae.ipynb#scrollTo=JscoOyZ3ddge 最后论文: Ar...
Run python Vqvae/train.py first to train the vqvae model. Run python VQDiffusion/train.py to train the discrete diffusion model. Inference To generate music samples with specified composer styles: python VQDiffusion/generate_midi.py Citation If this work is helpful for you, please consider ci...
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本文主要做的就是VQ-VAE模型的pytorch复现,其中介绍 VQ-VAE的主要结构,模型优化的损失函数,codebook离散化结构,以及pixelCNN的相关结构。末尾还会给出利用mini-imagenet数据复现实验的结果。 代码地址:https://github.com/ritheshkumar95/pytorch-vqvae VQ-VAE模型结构 ...
Module): """ Reference: [1] https://github.com/deepmind/sonnet/blob/v2/sonnet/src/nets/vqvae.py """ def __init__(self, num_embeddings: int, embedding_dim: int, beta: float = 0.25): super(VectorQuantizer, self).__init__() self.K = num_embeddings self.D = embedding_dim self...
https://github.com/zalandoresearch/pytorch-vq-vaegithub.com/zalandoresearch/pytorch-vq-vae 背景 从AE到VAE,再到VQ-VAE,自编码生成模型目前取得了越来越好的效果,特别时最近大火的Text-to-image任务中从DALL-E(解读DALL-E)、Cogview1/2(解读 CogView),再到最新的SOTA模型Parti[解读Parti],这些都展示了其...
VQ-VAE for Acoustic Unit Discovery and Voice Conversion Train and evaluate the VQ-VAE model for our submission to the ZeroSpeech 2020 challenge. Voice conversion samples can be found here. Pretrained weights for the 2019 English and Indonesian datasets can be found here. Fig 1: VQ-VAE model ...
PyTorch implementation of VQ-VAE by Aäron van den Oord et al. - zalandoresearch/pytorch-vq-vae