kampta/DeepLayout
PyTorch implementation of "LayoutTransformer: Layout Generation and Completion with Self-attention" to appear in ICCV 2021
This project helps researchers and developers working with document analysis and computer vision to generate and complete visual layouts. It takes bounding box data from datasets like COCO or PubLayNet and outputs new, plausible layouts of elements on a page or image. This is useful for researchers exploring new methods in layout generation.
165 stars. No commits in the last 6 months.
Use this if you are a researcher or developer focused on experimenting with self-attention models for generating or completing visual layouts from existing dataset annotations.
Not ideal if you need an out-of-the-box solution for production-ready document layout generation or a tool for non-developers.
Stars
165
Forks
26
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 25, 2022
Commits (30d)
0
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