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Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields

26 March 2025
Shijie Zhou
Hui Ren
Yijia Weng
Shuwang Zhang
Zhen Wang
Dejia Xu
Zhiwen Fan
Suya You
Z. Wang
Leonidas J. Guibas
A. Kadambi
    VGen
    3DGS
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Abstract

Recent advancements in 2D and multimodal models have achieved remarkable success by leveraging large-scale training on extensive datasets. However, extending these achievements to enable free-form interactions and high-level semantic operations with complex 3D/4D scenes remains challenging. This difficulty stems from the limited availability of large-scale, annotated 3D/4D or multi-view datasets, which are crucial for generalizable vision and language tasks such as open-vocabulary and prompt-based segmentation, language-guided editing, and visual question answering (VQA). In this paper, we introduce Feature4X, a universal framework designed to extend any functionality from 2D vision foundation model into the 4D realm, using only monocular video input, which is widely available from user-generated content. The "X" in Feature4X represents its versatility, enabling any task through adaptable, model-conditioned 4D feature field distillation. At the core of our framework is a dynamic optimization strategy that unifies multiple model capabilities into a single representation. Additionally, to the best of our knowledge, Feature4X is the first method to distill and lift the features of video foundation models (e.g., SAM2, InternVideo2) into an explicit 4D feature field using Gaussian Splatting. Our experiments showcase novel view segment anything, geometric and appearance scene editing, and free-form VQA across all time steps, empowered by LLMs in feedback loops. These advancements broaden the scope of agentic AI applications by providing a foundation for scalable, contextually and spatiotemporally aware systems capable of immersive dynamic 4D scene interaction.

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@article{zhou2025_2503.20776,
  title={ Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields },
  author={ Shijie Zhou and Hui Ren and Yijia Weng and Shuwang Zhang and Zhen Wang and Dejia Xu and Zhiwen Fan and Suya You and Zhangyang Wang and Leonidas Guibas and Achuta Kadambi },
  journal={arXiv preprint arXiv:2503.20776},
  year={ 2025 }
}
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