OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
International journal of computer vision81(2), 155–166 (2009)
2 Pith papers cite this work. Polarity classification is still indexing.
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GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.
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One Video, One World: Turning Monocular Video into Physical 4D Scenes
OVOW reconstructs instance-level, simulation-ready 4D mesh scenes from monocular video via a four-stage training-free pipeline and introduces a new benchmark for structured Video-to-4D evaluation.
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GNC-Pose: Geometry-Aware GNC-PnP for Accurate 6D Pose Estimation
GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.