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Found 2 papers, 2 papers with code
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
These techniques are often not applicable in unconditional generation or in various downstream tasks such as image restoration.
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
In this work, we explore existing frameworks for score-distilling text-to-3D generation and identify the main causes of the view inconsistency problem -- the embedded bias of 2D diffusion models.
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