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TiTok - Pytorch

Project description

TiTok - Pytorch (wip)

Implementation of TiTok, proposed by Bytedance in An Image is Worth 32 Tokens for Reconstruction and Generation

Usage

import torch
from titok_pytorch.titok import TiTokTokenizer

images = torch.randn(2, 3, 256, 256)

titok = TiTokTokenizer(dim = 512)

loss = titok(images)
loss.backward()

# after much training
# extract codes for gpt, maskgit, whatever

codes = titok.tokenize(images)

# reconstructing images from codes

recon_images = titok.codebook_ids_to_images(codes)

assert recon_images.shape == images.shape

Citations

@article{yu2024an,
  author    = {Qihang Yu and Mark Weber and Xueqing Deng and Xiaohui Shen and Daniel Cremers and Liang-Chieh Chen},
  title     = {An Image is Worth 32 Tokens for Reconstruction and Generation},
  journal   = {arxiv: 2406.07550},
  year      = {2024}
}

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