Reconstruction
2 papers with code • 5 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Reconstruction
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ADE20K
CelebAMask-HQ
PPMI
iDesigner
Subtasks
Most implemented papers
SCAM! Transferring humans between images with Semantic Cross Attention Modulation
In this work, we introduce SCAM (Semantic Cross Attention Modulation), a system that encodes rich and diverse information in each semantic region of the image (including foreground and background), thus achieving precise generation with emphasis on fine details.
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing
novestars/neural-pre-processing
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Head MRI pre-processing involves converting raw images to an intensity-normalized, skull-stripped brain in a standard coordinate space.
