March 12, 2024, 4:48 a.m. | Zilong Chen, Yikai Wang, Feng Wang, Zhengyi Wang, Huaping Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.06738v1 Announce Type: new
Abstract: 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 …

arxiv cs.cv diffusion diffusion models generators type video video diffusion

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