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A Second Model Straightens the Moving World
Video Geometry Corrector learns to repair warped structures and broken parallax after generation, without changing the source model.
Summary
Video Geometry Corrector learns to repair warped structures and broken parallax after generation, without changing the source model.
Generated video can look plausible frame by frame while buildings bend and camera motion collapses into cuts. Video Geometry Corrector treats that as a repair problem. The team creates synthetic pairs by distorting real camera-motion clips, then trains a video-to-video model to recover the consistent target with optical flow as an auxiliary cue. Across pose-conditioned and prompt-driven tests, the authors report improved geometry for multiple source generators, with larger backbones extending the effect. Because the supervision is synthetic and the evidence is benchmark-based, the work does not establish universal correction. It does show a modular path for improving geometric consistency without retraining every generator.
Why it matters
Video Geometry Corrector learns to repair warped structures and broken parallax after generation, without changing the source model.
Limits and context
- Because the supervision is synthetic and the evidence is benchmark-based, the work does not establish universal correction.
Key claims
Video Geometry Corrector learns to repair warped structures and broken parallax after generation, without changing the source model.
Qualification: Because the supervision is synthetic and the evidence is benchmark-based, the work does not establish universal correction.
Evidence: source-2026-10-19-004
Sources
- arXiv preprint 2610.23856, original v1arXiv · primary research
Corrections
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