Framework for evaluating and steering generative image systems using geometry-first metrics, structural stress testing, and constraint-based analysis. Designed to expose compositional collapse, spatial priors, and model failure modes without accessing training data or model internals.
machine-vision visual-reasoning image-quality-assessment artificial-vision generative-ai visual-intelligence ai-interpretability recursive-systems prompt-architecture ai-image-analysis ai-critique-framework image-recursion structural-critique ai-art-research
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Updated
May 3, 2026 - Jupyter Notebook