[GSoC] StackGAN Model #77
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Contributor
Vishal-V
commented
Jul 22, 2019
Vishal-V
commented
- StackGAN model implementation as part of GSoC 2019 proposal.
- The model has been implemented from the paper.
- The code follows the recommended python guidelines and is compatible with the TF 2.0 beta release.
- The code has been tested and all bugs have been fixed for both Stage 1 and Stage 2 of the StackGAN.
- The architecture list is present in the README file and all dependencies can be downloaded from the requirements.txt file.
MarkDaoust
reviewed
Jul 30, 2019
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # ============================================================================== | ||
| """Sample runner Code. |
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if __name__=="__main__":
It could be even better to have a .ipynb driver for this as well.
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I will create a notebook after uploading the trained weights and modify the code to draw inferences. The official implementation of StackGAN [GitHub Link] is quite outdated and wanted to create a model of that pedigree. Thus, will train the model and upload a driver notebook that shows how to train or draw inferences from this.
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