October 2, 2025Open Access

Stable Score Distillation

View Full Paper

Ask AI

Bookmark

Stable score distillation improves coherence in text-guided editing processes, enabling precise modifications across images and 3D models.
Incorporating classifier-free guidance and null-text branches, it achieves faster convergence and stronger editing effects, particularly for style transformations.
This method represents a streamlined framework surpassing the complexities of traditional approaches, facilitating enhanced spatial control during editing.
Applications in 2D and 3D editing tasks like NeRF underline its effectiveness, providing a valuable tool for text-driven image enhancements.

Discussion

No takes yet. Share an insight, caveat, or question.

Stable score distillation improves editing strength and stability in 2D and 3D tasks, suggesting a robust solution for text-driven editing.

Zhu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

Stable score distillation improves editing strength and stability in 2D and 3D tasks, suggesting a robust solution for text-driven editing.