aminshabani/house_diffusion
The implementation of "HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising", https://arxiv.org/abs/2211.13287
Hybrid denoising approach that handles both discrete room types and continuous geometric coordinates simultaneously for vector-based floorplan synthesis. Built on OpenAI's guided-diffusion framework and trained on the RPLAN dataset with preprocessing from House-GAN++. Supports end-to-end training and sampling workflows with configurable batch sizes and model checkpoints.
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Last pushed
Aug 30, 2023
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