A simple, stroke-based method for gesture drawing
Why this work is in the frame
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Bibliographic record
Abstract
Gesture drawing is a type of fluid, fast sketch with loose and roughly drawn lines which capture the motion and feeling of a subject. While style transfer methods, which are able to learn a style from an input image and apply it to a secondary image, can reproduce many styles, they are currently unable to produce the flowing strokes of gesture drawings. In this paper, we present a method to produce gesture drawings, which roughly depict objects or scenes with loose, dancing contours, and frantic textures. Our method adapts stroke-based painterly rendering algorithms to produce long, curved strokes by following the gradient field. A rough, overdrawn appearance is created through progressive refinement.Additionally, we produce rough hatch strokes by altering stroke direction. These add optional shading to the gesture drawings. The wealth parameters that provide users the ability to adjust the output style from short, rapid strokes to long, fluid strokes, from swirling to straight lines. Potential stylistic outputs also include pen-and-ink and coloured pencil. We present several generated gesture drawings and discuss how our method can be applied to video. Our stroke-based rendering algorithm produces convincing gesture drawings with numerous controllable parameters permitting the creation of a variety of styles.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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