Beyond Geometric Closure: Measuring and Diagnosing Mechanical Consistency in Visual Dynamics
Visual accuracy, geometric validity, and agreement with applied forces are distinct requirements for visual dynamics. We introduce a diagnostic framework that connects reaction-free SI measurements to controlled interventions on coordinate readout, training integration, and actuator response. Reference replay calibrates the measurement path, while continuous scoring exposes progress against fixed engineering targets. With three seeds per setting, we evaluate KeyCLD and CON across 343 planar assemblies at 64/256 pixels and V-JEPA + AC and LingBot-VA on 100 shared spatial test assemblies. CON reduces image MSE by 37.6%/37.2% relative to persistence, yet neither planar model attains valid na...
| Authors | Qibin Gu, Yunfeng Yan |
|---|---|
| Primary category | cs.CV |
| Published | 17 October 2026 |
| Last updated at source | 21 October 2026 |
Popularity, last 4 days
0 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 21 Oct 2026 Description: Visual accuracy leaves open whether predicted motion obeys dynamics. We introduce a framework for measuring and diagnosing mechanical consistency in visual dynamics. An independent SI audit of rigid closed chains separates geometric admissi → Visual accuracy, geometric validity, and agreement with applied forces are distinct requirements for visual dynamics. We introduce a diagnostic framework that connects reaction-free SI measurements to controlled interventions on coordinate
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 23 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.