{
  "id": 8161598,
  "title": "FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations",
  "url": "https://urgent.news/2026/09/17/famos-feed-forward-3d-articulation-modeling-from-sparse-observations",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-17T17:59:40.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.20817v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation and therefore rely heavily on learned category-level shape priors. We present FAMOS, a feed-forward model that predicts movable-part segmentation and joint parameters from a…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}