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GitHub - NVlabs/imaginaire: NVIDIA PyTorch GAN library with distributed and mixe...
source link: https://github.com/NVlabs/imaginaire
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Imaginaire
Docs | License | Installation | Model Zoo
Imaginaire is a pytorch library that contains optimized implementation of several image and video synthesis methods developed at NVIDIA.
License
Imaginaire is released under NVIDIA Software license.
For commercial use or business inquiries, please contact [email protected]
For press and other inquiries, please contact Hector Marinez
What's inside?
We have a tutorial for each model. Click on the model name, and your browser should take you to the tutorial page for the project.
Supervised Image-to-Image Translation
Algorithm Name Feature Publication pix2pixHD Learn a mapping that converts a semantic image to a high-resolution photorealistic image. Wang et. al. CVPR 2018 SPADE Improve pix2pixHD on handling diverse input labels and delivering better output quality. Park et. al. CVPR 2019Unsupervised Image-to-Image Translation
Algorithm Name Feature Publication UNIT Learn a one-to-one mapping between two visual domains. Liu et. al. NeurIPS 2017 MUNIT Learn a many-to-many mapping between two visual domains. Huang et. al. ECCV 2018 FUNIT Learn a style-guided image translation model that can generate translations in unseen domains. Liu et. al. ICCV 2019 COCO-FUNIT Improve FUNIT with a content-conditioned style encoding scheme for style code computation. Saito et. al. ECCV 2020Video-to-video Translation
Algorithm Name Feature Publication vid2vid Learn a mapping that converts a semantic video to a photorealistic video. Wang et. al. NeurIPS 2018 fs-vid2vid Learn a subject-agnostic mapping that converts a semantic video and an example image to a photoreslitic video. Wang et. al. NeurIPS 2019 wc-vid2vid Improve vid2vid on view consistency and long-term consistency. Mallya et. al. ECCV 2020Recommend
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