Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Overview

Make-A-Scene - PyTorch

Pytorch implementation (inofficial) of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors (https://arxiv.org/pdf/2203.13131.pdf)

results Figure 1. from paper

Note: this is work in progress.

Everyone is happily invited to contribute --> Discord Channel: https://discord.gg/hCRMGRZkC6

We would love to open-source a trained model. The model is a billion parameter model. Training it requires a lot of compute. If anyone can provide computational resources, let us know.

Paper Description:

Make-A-Scene modifies the VQGAN framework. It makes heavy use of using semantic segmentation maps for extra conditioning. This enables more influence on the generation process. Morever, it also conditions on text. The main improvements are the following:

  1. Segmentation condition: separate VQVAE is trained (VQ-SEG) + loss modified to a weighted binary cross entropy. (3.4)
  2. VQGAN training (VQ-IMG) is extended by Face-Loss & Object-Loss (3.3 & 3.5)
  3. Classifier Guidance for the autoregressive transformer (3.7)

Training Pipeline

results Figure 6. from paper

What needs to be done?

Refer to the different folders to see details.

Citation

@misc{https://doi.org/10.48550/arxiv.2203.13131,
  doi = {10.48550/ARXIV.2203.13131},
  url = {https://arxiv.org/abs/2203.13131},
  author = {Gafni, Oran and Polyak, Adam and Ashual, Oron and Sheynin, Shelly and Parikh, Devi and Taigman, Yaniv},
  title = {Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}
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Comments
  • Fix logic bugs of the transformer

    Fix logic bugs of the transformer

    • Remove one seemingly unused text positional embedding
    • Output the logits starting from the end of segmentation position not at the start of image position
    opened by thuangb 1
  • Will the segmentation graph data set be exposed?

    Will the segmentation graph data set be exposed?

    Hi, I'm very concerned about this great work,What should I do if I want to get the segmentation graph and category of mscoco data set? Will it be disclosed in the future

    opened by yanhan111 0
  • Classifier free guidance

    Classifier free guidance

    Thanks for sharing the code, I cannot find the classifer free guidance in this implementation. I wonder if I miss it, if so can you show me where it is? Thanks for your patience

    opened by KevinGoodman 1
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