2025/12/25 by Leslie Gu, Gu, Leslie, Junhwa Hur +12
Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #3D Shape Modeling and Analysis
paper · pdf · doi:10.48550/arxiv.2512.22274
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.