Simplification and Real-time Smooth Transitions of Articulated Meshes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Simplification techniques have mainly been applied on static models. However in movie and game industries, many models are designed to be animated. We extend the progressive mesh technique to handle skeletally-articulated meshes in order to obtain a continuous level-of-detail (CLOD) representation that retains its ability to be animated. Our technique is not limited to any simplification metric, nor is it limited to generating models composed of a subset of the original vertices. It thus preserves the full simplification potential. To further improve performance, we can use this CLOD representation and extract a discrete set of skeletally-articulated models. Each model can be independently optimized, such as by using triangle strips. We can also use morphing between the different models in order to create smoother transitions. The result is a more accurate representation of animated articulated models, suitable for real-time applications.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it