The results are obtained using the same code used for BOP'19 with the original paper backbone (trained from scratch, no pre-trained weights are used for Pix2Pose, for Mask-RCNN : MScoco pre-trained weights are used)

This is to directly compare the effect of PBR images while using the exactly the same parameters for training and evaluations that we used for BOP'19 challenge. (In the BOP'19, we used synthetic images that are provided in the challenge without additional renderings)