Joy Chen, Qingfu Wan

This is the repository for the final project of "Machine Learning - CSCI-GA.2565-001" Spring 2021 at NYU Courant.

• Conditioning the image generation on class labels for a better equilibrium in imbalanced multi-modal data.

• Metrics-turned-Trainable-Scores + Self-aligned Perceptual Style Scores for better-learned data distribution.

• Built-in classifier as an implicit evaluator and an explicit learner.

• Label-aware class-specific generation + class-agnostic homogenous generation system.

• A foolproof online self-annotation mechanism compensating for insufficient data.

Full report here.

${ROOT}
+-- experiments
+-- figs   
+-- code
+-- full_code
+-- README.md

${ROOT}/code/

${ROOT}/full_code/

• PyTorch
• Keras

Left: Real Data; Right: Generated Data

Clear indication of ribs, spine, and heart shading.

Clear spines, lungs, and varied contrast & color gradient.