KAIST's ME-World tackles multi-agent egocentric world modeling with joint denoising
kaist-ai · hf · 2026-10-09
KAIST AI proposes ME-World, formulating multi-agent egocentric world modeling as synchronized generation of multiple ego streams. It jointly denoises streams in a shared token sequence, conditions each on all agents' target-view poses, and grounds generation with shared environment memory. With new shared-world consistency metrics, it outperforms existing methods on consistency, action control, identity preservation, and video quality.
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