README.md

metadata

license: apache-2.0
datasets:
  - multi-train/coco_captions_1107
  - visual_genome
language:
  - en
pipeline_tag: text-to-image
tags:
  - scene_graph
  - transformers
  - laplacian
  - autoregressive
  - vqvae

trf-sg2im

Model card for the paper "Transformer-Based Image Generation from Scene Graphs". Original GitHub implementation here.

Model

This model is a two-stage scene-graph-to-image approach. It takes a scene graph as input and generates a layout using a transformer-based architecture with Laplacian Positional Encoding. Then, it uses this estimated layout to condition an autoregressive GPT-like transformer to compose the image in the latent, discrete space, converted into the final image by a VQVAE.

Usage

For usage instructions, please refer to the original GitHub repo.

Results

Comparison with other state-of-the-art approaches