TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Medical/Image Generation/Dayton (64×64) - aerial-to-ground

Image Generation on Dayton (64×64) - aerial-to-ground

Metric: SSIM (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕SSIM▼Extra DataPaperDate↕Code
1SelectionGAN0.6865NoMulti-Channel Attention Selection GAN with Casca...2019-04-15Code
2X-Seq0.5171NoCross-View Image Synthesis using Conditional GANs2018-03-09Code
3UniGAN0.5064NoUnified Generative Adversarial Networks for Cont...2019-12-12Code
4X-Fork0.4921NoCross-View Image Synthesis using Conditional GANs2018-03-09Code
5Pix2pix0.4808NoImage-to-Image Translation with Conditional Adve...2016-11-21Code