TAMU-VITAShapeMatchingGAN

Name: tamu-vita/shapematchinggan
Author: TAMU-VITA

ShapeMatchingGAN

Features

Specialized Adversarial Applications - Detects and removes shadows using attentive recurrent networks.

Projects sharing features with ShapeMatchingGAN

These projects share indexed features with ShapeMatchingGAN. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.

carpedm20/simulated-unsupervised-tensorflow
carpedm20/simulated-unsupervised-tensorflow
575View on GitHub
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
Python
View on GitHub575
zck119/3dgan-release
zck119/3dgan-release
825View on GitHub
3D Generative Adversarial Network
Python
View on GitHub825

Frequently asked questions

What are the main features of tamu-vita/shapematchinggan?

The main features of tamu-vita/shapematchinggan are: Specialized Adversarial Applications.

Which projects share features with tamu-vita/shapematchinggan?

Projects with overlapping indexed features include: carpedm20/simulated-unsupervised-tensorflow — TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training". zck119/3dgan-release — 3D Generative Adversarial Network.

Star history

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.