EgoForce reconstructs long-horizon full-body motion online from sparse noisy egocentric views by incrementally denoising with a temporally asymmetric diffusion schedule and noise-robust imputation.
arXiv preprint arXiv:2311.17135 (2023) 3
2 Pith papers cite this work. Polarity classification is still indexing.
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NaP-Control uses RL to directly predict optimized diffusion noise from a task-agnostic prior, enabling fast inference and higher success rates for versatile whole-body character control while preserving motion quality.
citing papers explorer
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EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing
EgoForce reconstructs long-horizon full-body motion online from sparse noisy egocentric views by incrementally denoising with a temporally asymmetric diffusion schedule and noise-robust imputation.
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NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control
NaP-Control uses RL to directly predict optimized diffusion noise from a task-agnostic prior, enabling fast inference and higher success rates for versatile whole-body character control while preserving motion quality.