March 15, 2024, 4:44 a.m. | Yatian Pang, Tanghui Jia, Yujun Shi, Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Xing Zhou, Francis E. H. Tay, Li Yuan

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08902v1 Announce Type: new
Abstract: We present Envision3D, a novel method for efficiently generating high-quality 3D content from a single image. Recent methods that extract 3D content from multi-view images generated by diffusion models show great potential. However, it is still challenging for diffusion models to generate dense multi-view consistent images, which is crucial for the quality of 3D content extraction. To address this issue, we propose a novel cascade diffusion framework, which decomposes the challenging dense views generation task …

abstract anchor arxiv consistent cs.cv diffusion diffusion models extract generate generated however image images novel quality show type view

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