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Non-official Pytorch implementation of the CREStereo (CVPR 2022 Oral) model converted from the original MegEngine implementation.
![!CREStereo-Pytorch stereo detph estimation](https://github.com/ibaiGorordo/CREStereo-Pytorch/blob/main/doc/img/output.jpg)
*Stereo depth estimation on the cones images from the Middlebury dataset (https://vision.middlebury.edu/stereo/data/scenes2003/)*
# Important
- This is just an effort to try to implement the CREStereo model into Pytorch from MegEngine due to the issues of the framework to convert to other formats (https://github.com/megvii-research/CREStereo/issues/3).
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- CREStereo: https://github.com/megvii-research/CREStereo
- RAFT: https://github.com/princeton-vl/RAFT
- LoFTR: https://github.com/zju3dv/LoFTR
- Grid sample replacement: https://zenn.dev/pinto0309/scraps/7d4032067d0160
- torch2mge: https://github.com/MegEngine/torch2mge