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SynBalance: balancing rare classes with synthetic data
PAPER ANALYSIS An ICCV 2025 paper uses generated images to repair long-tailed class imbalance — and gets real gains on the classes models usually ignore. It also walks straight into the limitation that matters most to us: diffusion generates plausible images, not specified ones. Computer vision models tend to learn a lot about what they…
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November 2025
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- SynBalance: balancing rare classes with synthetic data
- Synthetic Data in Computer Vision: From Scientific Revolution to Industrial Applications
- ROSE: Object Removal in Videos Powered by Synthetic 3D Data
- DAViD by Microsoft: A Public Milestone in Computer Vision with Synthetic Data
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