Using Pix2Pix and CycleGAN on four standard datasets, the paper finds that L1 loss and paired supervision beat alternatives in FID, precision, and recall, a conclusion already found in the cited literature.
Learning representations for automatic colorization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
Paired and Unpaired Image to Image Translation using Generative Adversarial Networks
Using Pix2Pix and CycleGAN on four standard datasets, the paper finds that L1 loss and paired supervision beat alternatives in FID, precision, and recall, a conclusion already found in the cited literature.