RealisticDreamer: Guidance Score Distillation for Few-shot Gaussian Splatting
PositiveArtificial Intelligence
- The introduction of Guidance Score Distillation (GSD) marks a significant advancement in 3D Gaussian Splatting (3DGS) by addressing overfitting issues that arise from sparse training views. This framework utilizes insights from Video Diffusion Models to enhance multi
- This development is crucial as it not only improves the rendering capabilities of 3DGS but also sets a new standard for real
- While there are no directly related articles, the emphasis on overcoming overfitting and enhancing rendering quality resonates with ongoing discussions in the AI and computer vision fields, highlighting the importance of robust training methodologies for complex models.
— via World Pulse Now AI Editorial System
