March 21, 2024, 4:46 a.m. | Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung

cs.CV updates on arXiv.org arxiv.org

arXiv:2303.12236v2 Announce Type: replace
Abstract: We present a cascaded diffusion model based on a part-level implicit 3D representation. Our model achieves state-of-the-art generation quality and also enables part-level shape editing and manipulation without any additional training in conditional setup. Diffusion models have demonstrated impressive capabilities in data generation as well as zero-shot completion and editing via a guided reverse process. Recent research on 3D diffusion models has focused on improving their generation capabilities with various data representations, while the absence …

abstract art art generation arxiv capabilities cs.cv data diffusion diffusion model diffusion models editing manipulation part quality representation setup state training type

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