GenMatter is a generative hierarchical model that groups low-level motion and high-level features into particles and clusters representing independently moveable physical entities, validated across dot kinematograms, camouflaged objects, and RGB videos.
Particle markov chain monte carlo methods.Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(3):269–342
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GenMatter: Perceiving Physical Objects with Generative Matter Models
GenMatter is a generative hierarchical model that groups low-level motion and high-level features into particles and clusters representing independently moveable physical entities, validated across dot kinematograms, camouflaged objects, and RGB videos.