[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)

1. face-parsing.PyTorch

   1 4 2,385 0.0 Python

   Using modified BiSeNet for face parsing in PyTorch

   

   Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!

2. Judoscale

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   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. pix2pixHD

   2 6 6,765 2.2 Python

   Synthesizing and manipulating 2048x1024 images with conditional GANs

   

   Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!

4. DeepSIM

   3 3 422 1.8 Python

   Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

   

   Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!

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