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Taming Mode Collapse in Score Distillation for Text-to-3D Generation
April 2, 2024, 7:45 p.m. | Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
cs.LG updates on arXiv.org arxiv.org
Abstract: Despite the remarkable performance of score distillation in text-to-3D generation, such techniques notoriously suffer from view inconsistency issues, also known as "Janus" artifact, where the generated objects fake each view with multiple front faces. Although empirically effective methods have approached this problem via score debiasing or prompt engineering, a more rigorous perspective to explain and tackle this problem remains elusive. In this paper, we reveal that the existing score distillation-based text-to-3D generation frameworks degenerate to …
abstract artifact arxiv cs.cv cs.lg distillation fake generated multiple objects performance text type via view
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