NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos
On the map: World models → Video-generation world models and simulators
Abstract (arXiv)
In this paper, we propose NeoVerse, a versatile 4D world model that is capable of 4D reconstruction, novel-trajectory video generation, and rich downstream applications. We first identify a common limitation of scalability in current 4D world modeling methods, caused either by expensive and specialized multi-view 4D data or by cumbersome training pre-processing. In contrast, our NeoVerse is built upon a core philosophy that makes the full pipeline scalable to diverse in-the-wild monocular videos. Specifically, NeoVerse features pose-free feed-forward 4D reconstruction, online monocular degradation pattern simulation, and other well-aligned techniques. These designs empower NeoVerse with versatility and generalization to various domains. Meanwhile, NeoVerse achieves state-of-the-art performance in standard reconstruction and generation benchmarks. Our project page is available at https://neoverse-4d.github.io.
Key facts. Cited by 46 papers in the map (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 82 of its 87 references that are in the map. First posted on arXiv 1 Jan 2026.
Builds on
82 of 87 references.
Closest ancestors · 2
Same direction, newest first
- 2025Wan: Open and Advanced Large-Scale Video Generative Models26 Mar
- 2024CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer12 Aug
Other references · 80
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50 most cited of 80 All 80 (JSON)
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Citing papers per year: 2026: 46.
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12 newest of 17 All 17 (JSON)
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