Research map / Image generation / Autoregressive and latent generation
Variational Transformer Networks for Layout Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use self-attention to model relationships between layout elements regardless of sequence distance | Variational Transformer Networks · PubLayNet | attention to relevant elements | Helped |
| Interpolate between latent vectors | Variational Transformer Networks · PubLayNet | validity of generated layouts | Helped |
| Add latent vectors incrementally | Non-autoregressive decoder · Layout generation | layout extension consistency | Helped |
| Train on 50K PubLayNet samples | Autoregressive Variational Transformer Network · PubLayNet | generalization measured by unique DocSim matches | Helped |
Closest papers by meaning
- MaskPLAN: Masked Generative Layout Planning from Partial Input (CVPR 2024 · similarity 0.86)
- Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints (ICLR 2024 · similarity 0.86)
- AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models (CVPR 2025 · similarity 0.86)
- Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation (NeurIPS 2024 · similarity 0.84)
- Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation (CVPR 2024 · similarity 0.84)
- Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation (CVPR 2024 · similarity 0.84)
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