flownet3d
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FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
evaluation for flying_things_dataset by using the pre-trained weight you release. ====================== ``` batch EPE 3D: 0.195748 ACC 3D: 0.225382 ACC 3D 2: 0.564744 (8, 4096, 6) batch loss: 0.009314 batch...
Hi, @xingyul , thanks for your sharing codes and it is great. But i got a little trouble while testing it, could you or anyone help me? I downloaded the...
Thank you for your great work and code release! I found that the disparity of KITTI scene flow dataset is based on frame one, so that the disparity of pixels...
Hi Xingyu, Thank you for releasing code here. I noticed that the loss function used in the code is different from the one in the Paper. In the paper, you...
@xingyul , In which section of the code, motion segmentation can be made to visualize larger motion and smaller motion
In the Supplementary of your paper, E part describes the details on the Scan Registration Application saying that " we iteratively regress twice for the scene flow (i.e. predict a...
Hi, Xingyu. I have run your code and the performance is excellent. Thank you for sharing. I am interested in the 3d scan registration application in your paper, but I...