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.
Advances in Neural Information Processing Systems35, 28559–28574 (2022)
2 Pith papers cite this work. Polarity classification is still indexing.
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A progressive test-time optimization framework on 3D Gaussian Splatting enables high-fidelity 4D animal reconstruction from monocular video via symmetry-aware encoding and part-conditioned deformation.
citing papers explorer
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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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Progressive Pose-Guided 4D Animal Reconstruction from Monocular Video
A progressive test-time optimization framework on 3D Gaussian Splatting enables high-fidelity 4D animal reconstruction from monocular video via symmetry-aware encoding and part-conditioned deformation.