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4DAnyone reconstructs 4D humans from single videos using novel diffusion techniques

By PulseAugur Editorial · [3 sources] ·

Researchers have developed 4DAnyone, a novel framework capable of reconstructing three-dimensional human models from a single, uncalibrated video. This system generates consistent multi-view videos and then converts them into 4D Gaussian Splatting representations. To address challenges in scaling and maintaining consistency across numerous views, 4DAnyone employs Reference Context Packing to compress reference views and Target Context Routing to facilitate information exchange between different view groups during the denoising process. AI

IMPACT Enables more accessible and detailed 4D human avatar creation from casual video.

RANK_REASON The cluster contains a research paper detailing a new method for 4D human reconstruction.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

4DAnyone reconstructs 4D humans from single videos using novel diffusion techniques

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Research
The cluster contains a research paper detailing a new method for 4D human reconstruction.
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paper, model release
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COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    4DAnyone: Create Anyone in 4D from a Casual Monocular Video

    We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting them into 4D Gaussian Splatting (4DGS). Existing camera-controlled video diffusion models synthesize plaus…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    4DAnyone: Create Anyone in 4D from a Casual Monocular Video

    4DAnyone reconstructs 4D humans from monocular video by generating multiview-consistent videos and lifting them into 4D Gaussian Splatting, using reference and target context designs to overcome scaling bottlenecks.

  3. arXiv cs.CV TIER_1 English(EN) · Yudong Jin, Tao Xie, Qihang Zhang, Zehong Shen, Zhen Xu, Yujun Shen, Hujun Bao, Xiaowei Zhou, Yinghao Xu ·

    4DAnyone: Create Anyone in 4D from a Casual Monocular Video

    arXiv:2608.20335v1 Announce Type: new Abstract: We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting them into 4D Gaussian Splatting (4DGS). Existing camera-co…

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