Class final project for Spring 2021 CS280 Computer Vision, UC Berkeley.
Our implementation of SwinUPer builds on top of mmediting.
Full commit history of SwinUPer is available here.
Trained SwinUPer and logs are backed up here.
For semantic segmentation used in our Diminished Reality pipeline, we used mmsegmentation.
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SwinUPer - an inpaintor that uses Swin Transformer and UPerNet as backbone for inpainting. Built on top of mmediting, mmsegmentation and Swin Transformer's implementation.
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