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Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

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Hi @RozDavid, Thank you so much for your great work! One major advantage of the language-grounded model is that it can perform zero-shot evaluation on other datasets, such as [2D...

Hi, Could I ask why did you choose this loss as your pre-training step? Did you try some other loss for the pre-training step, such as InfoNCEloss? What's the difference...

Hello, It seems the paper only shows the 3D mesh quality. Is it possible to release some 2D semantic maps? By the way, how should we obtain the 2D semantic...

Hi, Thanks for releasing code. I have a question about alpha in eqn.5. Based on my understanding, the more frequently appearing class will get higher alpha. Then it has higher...

Dear RozDavid, hello, I am reproducing your work, but I found that when doing text_representation_train and train_model, the result of running according to your code is 10-20 mIoU points worse...