Imorph: An Interactive System for Visualizing and Modeling Implicit Morphs
Bibliographic record
Abstract
A metamorphosis, or morph, describes how a source shape gradually changes until it takes on the form of a target shape. Morphs are used in CAD (to construct novel shapes from basic primitives) and in motion picture special effects (to show one character transforming into another). To date, implicit morphing algorithms have been off-line processes. Source and target shapes and any userdefined initial conditions (object positions and warps) are provided as input to these black-box methods. We present an interactive system that constructs an implicit morph in real-time using the texturing hardware in graphics cards. Our solution allows a user to interactively modify parameters of the morph (scaling, translation, rotation, and warps) and immediately visualize the resulting changes in the intermediate shapes. Our approach consists of three elements: (1) the real-time computation and visualization of transforming shapes, (2) the ability to immediately see changes reflected in a morph when source and target shapes are manipulated, and (3) an efficient image-based method for updating
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".