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View Code? Open in Web Editor NEWPytorch implementation for “Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only”
Pytorch implementation for “Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only”
Under the dataset link to Baidu Yun, the dataset includes "material" and "layout". Under the dataset link to Google Drive, the dataset was "MultiLayerDataset". If have I have it right these are completely two different datasets. I wonder if you can share some more instructions about how to use these two dataset.
Hi
That's a great cool work and I am really interested in the detailed implementation of the model. But it seems that the code is not available yet. Will you publish the code in the future?
can your LCT-GAN generate features vectors to do texture retrieval instead of texture synthesis
Thank you for your Brilliant code , could you tell me where is the text scene generation code?
I try to run text_generation_Lited/main.py, but I can't find materials/train_test_random folder in dataset. How to generate materials/train_test_random folder in dataset?
How would you go about setting restrictions for the total size of the floorplan, such as how much land is available?
For example: the total plot of land is 1500sq ft
so the generated floorplan is in these restrictions
The documentation/comments are unfortunately not very clear in render3D.py. May I ask what is the input for the script? It seems that load_data_path()
returns three different convex hulls, namely first_hull, w_all_hull, init_hull
. Could you elaborate on what are these hulls representing since it's not immediately clear from the code.
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