Text-to-3D Generation Improved With ReDream Approach
Text-to-3D generation improved with ReDream approach: leveraging semantically relevant 3D assets to enhance 2D diffusion model's 3D geometry & view consistency, resulting in higher quality & consistent 3D scenes.
This is a Plain English Papers summary of a research paper called Retrieval-Augmented Score Distillation for Text-to-3D Generation. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview Text-to-3D generation has made significant progress by incorporating powerful 2D diffusion models, but the inconsistency of 3D geometry remains a challenge. Fine-tuning diffusion models on multi-view datasets is a common approach to address 3D inconsistency, but it is hindered by the limited quality and diversity of available 3D data...