A fine-tuned video diffusion model translates monocular video into a synthetic proxy video of a moving cube, enabling 6-DoF pose tracking via classical solvers without 3D models, depth, or masks.
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2026 2representative citing papers
A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.
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ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
A fine-tuned video diffusion model translates monocular video into a synthetic proxy video of a moving cube, enabling 6-DoF pose tracking via classical solvers without 3D models, depth, or masks.
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Mesh Based Simulations with Spatial and Temporal awareness
A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.