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October 9, 2025Open Access

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

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The model exhibits superior generation quality compared to existing methods in 3D content creation.
It leverages a compact latent space for efficient representation of high-dimensional animations.
Training on data from the Objaverse dataset enhances in-the-wild performance with real video inputs.
Challenges like costly data construction are addressed through a novel framework for video-to-4D generation.

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Novel framework creates dynamic 3D content from video inputs, suggesting advances in video-to-4D synthesis.

Zhang et al. (2025) studied this question.

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