DeepSIM
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Manipulate images based on a single example to create new visual outputs.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
DeepSIM has 425 stars on GitHub. It has been forked 49 times. DeepSIM is written mainly in Python. It has been in active development since 2020. Its main topics are computer-graphics, computer-vision, deep-learning, deep-neural-networks.
What is DeepSIM?
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Is DeepSIM open source?
DeepSIM is an open-source project.
Is DeepSIM free?
Yes. DeepSIM is free and open source — you can use, modify and self-host it.
What language is DeepSIM written in?
DeepSIM is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/eliahuhorwitz-deepsim.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.