Comments (2)
Thanks for your great paper and code.
As described in your paper, you used 50 object categories for bedrooms and 39 object categories for living room. But Kai Wang used 31 categories and 21 categories respectively in DeepSynth.
Could you please give me more details about the object categories you selected? Thank you very much.
In his paper, he used the deep-synth and fast-synth scripts to filter the room,finally get the good bedroom 6351.But use the deep-synth scipts to filter the bedroom,you can get the 7730 good bedroom. So I think he not just use the deep-synth scripts to create data.Maybe fast-synth also to be used.
from sceneformer.
@JackW987 Thank you, you are right. I also noticed that some object categories are not used in DeepSynth but are present in the results shown in the SceneFormer. But 40 categories and 35 categories were used for bedroom and living room respectively in FastSynth, which still do not match the number mentioned in SceneFormer.
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Related Issues (13)
- dimensions of objects HOT 4
- conda env create --file environment.yaml error
- error when pickl.load('35.pkl') HOT 1
- How to prepare dataset HOT 3
- How can train scencformer with 3D-FRONT
- About model_dims.pkl HOT 10
- About loc model HOT 5
- License HOT 1
- Pretrained models
- the model_dims.pkl HOT 2
- About the (floor,wall,windows,door,nodes)
- Location model curr_cat_emb question
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