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WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

Paper recorded by Signals 4 on 2026-09-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.AI · 人工智能 · first seen 2026-09-22

Abstract

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is to let the requested viewpoint shape how multi-view evidence is compressed into the video generator's

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#2 most recent of 340 cs.AI papers we have recorded · ↑ newer: GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay · ↓ older: DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulati

Cite this page: WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory: the #2 most recent of 340 cs.AI papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/worldcrafter-consistent-video-world-model-with-implicit-3d-aware-memory.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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