A Fast and Stable Feature-Aware Motion Blur Filter
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
High-quality motion blur is an increasingly important effect in interactive graphics however, even in the context of offline rendering, it is often approximated as a post process. Recent motion blur post-processes (e.g., [MHBO12, Sou13]) generate plausible results with interactive performance, however distracting artifacts still remain in the presence of e.g. overlapping motion or large- and fine-scale motion features.We address these artifacts with a more robust sampling and filtering scheme with only a small additional runtime cost. We render plausible, temporallycoherent motion blur on several complex animation sequences, all in under 2ms at a resolution 1280 x 720. Moreover, our filter is designed to integrate seamlessly with post-process anti-aliasing and depth of field.
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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