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czq142857 / IM-NET

The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
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IM-Net and Occ-Net #15

Closed Vinayak-VG closed 3 years ago

Vinayak-VG commented 3 years ago

Hey, could you please tell me the difference between IM-Net and Occupancy Networks. Both look exactly the same to me. It would be really helpful if you help me out with this question

czq142857 commented 3 years ago

There are a few differences in network designs and loss function. But other than that, they are almost the same. In fact, there are three papers proposing the same idea (continuous implicit representation) in CVPR 2019, pretty amazing. I encourage you to take a look at all of them:

DeepSDF and IM-NET: These networks take a shape feature code and point coordinates as inputs, and pass them to several fully-connected layers, possibly with skip connections.

OccNet: Occupancy networks use the shape feature code to predict the parameters for conditional batch normalization in the fully-connected layers, and adopt ResNet blocks in their structures.

Vinayak-VG commented 3 years ago

Thanks a lot for the information It really helped me a lot :)