AWhat changed
Combined image-conditioned adversarial training with reconstruction and patch-based discrimination; the high-resolution extension added coarse-to-fine generation, multi-scale discriminators and discriminator-feature matching.
Scientific scope
Combined image-conditioned adversarial training with reconstruction and patch-based discrimination; the high-resolution extension added coarse-to-fine generation, multi-scale discriminators and discriminator-feature matching. Uses paired supervision and inherited encoder/skip architectures, not a solution to arbitrary unpaired translation. Patch losses do not guarantee global semantic correctness. Different original author sets are retained; increasing image resolution alone is not counted as a separate invention.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Uses paired supervision and inherited encoder/skip architectures, not a solution to arbitrary unpaired translation. Patch losses do not guarantee global semantic correctness. Different original author sets are retained; increasing image resolution alone is not counted as a separate invention.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- Image-to-Image Translation with Conditional Adversarial Networks
- High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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