BodyReLux achieves photorealistic, temporally consistent full-body video relighting via a diffusion model with token-based lighting conditioning trained on a hybrid static-dynamic capture dataset.
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A terrain-adaptive epsilon-constraint MPC with semi-parametric SGP vehicle-terrain model achieves 94% success rate, 24% lower orientation deviation, and 23% better trade-off quality than MPPI and GAKD baselines.
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BodyReLux: Temporally Consistent Full-Body Video Relighting
BodyReLux achieves photorealistic, temporally consistent full-body video relighting via a diffusion model with token-based lighting conditioning trained on a hybrid static-dynamic capture dataset.
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A Terrain-Adaptive epsilon-Constraint MPC for Uneven Terrain Kinodynamic Planning
A terrain-adaptive epsilon-constraint MPC with semi-parametric SGP vehicle-terrain model achieves 94% success rate, 24% lower orientation deviation, and 23% better trade-off quality than MPPI and GAKD baselines.