Towards Physics-Faithful Generation of Scientific Diagrams
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TL;DR - Princigram generates scientific diagrams using structured physics reasoning rather than visual plausibility alone. It aims to reduce physically incorrect forces, coordinate systems, states, and equations in educational and scientific graphics.
- Structured Physical Chain-of-Thought applies fixed, discipline-specific reasoning schemas with explicit fidelity rules.
- The training pipeline includes 4.3 million physics images, with 115,037 receiving expert-level structured annotations.
- VeriphyT2IBench evaluates individual physical facts through diagram-specific binary questions instead of a single holistic score.
- Evaluations on GenExam’s physics subset and VeriphyT2IBench indicate improved physical faithfulness from structured supervision.
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Towards Physics-Faithful Generation of Scientific Diagrams
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Hugging Face upvotes 1
TL;DR - Princigram generates scientific diagrams using structured physics reasoning rather than visual plausibility alone. It aims to reduce physically incorrect forces, coordinate systems, states, and equations in educational and scientific graphics.
- Structured Physical Chain-of-Thought applies fixed, discipline-specific reasoning schemas with explicit fidelity rules.
- The training pipeline includes 4.3 million physics images, with 115,037 receiving expert-level structured annotations.
- VeriphyT2IBench evaluates individual physical facts through diagram-specific binary questions instead of a single holistic score.
- Evaluations on GenExam’s physics subset and VeriphyT2IBench indicate improved physical faithfulness from structured supervision.