nv-tlabs / ATISS

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
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Importance of room_side argument #10

Open SergCholovsky opened 2 years ago

SergCholovsky commented 2 years ago

In readme.md you mentioned room_side argument: "This script starts by parsing all scenes from the 3D-FRONT dataset and then for each scene it generates a subfolder inside the path_to_output_dir that contains the information for all objects in the scene (boxes.npz), the room mask (room_mask.png) and the scene rendered using a top-down orthographic_projection (rendered_scene_256.png). Note that for the case of the living rooms and dining rooms you also need to change the size of the room during rendering to 6.2m from 3.1m, which is the default value, via the --room_side argument." I inspected your code but yet not sure about importance of that parameter and actual scales in your model. Is it true that room from default bedroom dataset with 64x64 generated mask but only 32x32 square of not zeros, have actual size 1.55x1.55 meters? If I want to check your model on a custom room mask what scales/resolutions of the my room mask should I use for dining room and bedroom generation respectively?