April 2, 2024, 7:48 p.m. | Ruowen Zhao, Zhengyi Wang, Yikai Wang, Zihan Zhou, Jun Zhu

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.00987v1 Announce Type: new
Abstract: 3D content generation from text prompts or single images has made remarkable progress in quality and speed recently. One of its dominant paradigms involves generating consistent multi-view images followed by a sparse-view reconstruction. However, due to the challenge of directly deforming the mesh representation to approach the target topology, most methodologies learn an implicit representation (such as NeRF) during the sparse-view reconstruction and acquire the target mesh by a post-processing extraction. Although the implicit representation …

abstract arxiv challenge consistent content generation cs.cv however image images mesh progress prompts quality representation speed text topology type view

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