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V3D Video Diffusion Models are Effective 3D Generators Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to limited model capacity or 3D data. Motivated by recent advancements in video diffusion models, we introduce V3D, which... leverages the world simulation capacity of pre-trained video diffusion models to facilitate 3D generation. To fully unleash the potential of video diffusion to perceive the 3D world, we further introduce geometrical consistency prior and extend the video diffusion model to a multi-view consistent 3D generator. Benefiting from this, the state-of-the-art video diffusion model could be fine-tuned to generate 360degree orbit frames surrounding an object given a single image. With our tailored reconstruction pipelines, we can generate high-quality meshes or 3D Gaussians within 3 minutes. Furthermore, our method can be extended to scene-level novel view synthesis, achieving precise control over the camera path with sparse input views. Extensive experiments demonstrate the superior performance of the proposed approach, especially in terms of generation quality and multi-view consistencyshow more

AK

457,965 subscribers

31,997 次观看 • 2 年前 •via X (Twitter)

Anya Rossi• Live Now

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3 条评论

AK 的头像

AK2 年前

paper page:

Philipp Tsipman 的头像

Philipp Tsipman2 年前

Video -> 3D, then use those 3D assets to generate another video -> then 3D, then.... 😆

Denis 的头像

Denis2 年前

How much vram is required?

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