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FangGet / PackNet-SFM-PyTorch

A Pytorch implementation(unofficial) for paper "PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation"
GNU General Public License v3.0
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would you provide an improved version corresponding to the original paper? #3

Closed TengFeiHan0 closed 4 years ago

FangGet commented 4 years ago

Sorry for late reply, I'm working for a paper with an improved version of packnet along with some new ideas, as is on the way, so code are not avariable currently.

TengFeiHan0 commented 4 years ago

Sorry for late reply, I'm working for a paper with an improved version of packnet along with some new ideas, as is on the way, so code are not avariable currently.

@FangGet which paper do you refer to? do you mean "SEMANTICALLY-GUIDED REPRESENTATION LEARN- ING FOR SELF-SUPERVISED MONOCULAR DEPTH"? it is a paper produced by the same author and published on ICLR2020, which uses a fixed semantic segmentation network to guide our depth prediction module.

Actually, I already reproduced this paper. my results(monodepth2-based not packnet) are a little better than the author's due to the difference of semantically-guided network. if you also are interested in this paper, I'm glad to cooperate with you and make more experiments.

FangGet commented 4 years ago

the paper is "PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation", the same author as your paper. could you give the result you reproduced on KITTI? you can also try to make experiments with packnet-block for better results.

for other things, contact me with email: fangasfrank at gmail dot com