GeCo: A Differentiable Geometric Consistency Metric for Video Generation

Leslie Gu, Junhwa Hur, Charles Herrmann, Fangneng Zhan, Todd E. Zickler, Deqing Sun, Hanspeter Pfister

Abstract: We introduce GeCo, a geometry-grounded metric for jointly detecting geometric deformation and occlusion-inconsistency artifacts in static scenes. By fusing residual motion and depth priors, GeCo produces interpretable, dense consistency maps that reveal these artifacts. We use GeCo to systematically benchmark recent video generation models, uncovering common failure modes, and further employ it as a training-free guidance loss to reduce deformation artifacts during video generation.

External IDs:dblp:journals/corr/abs-2512-22274