AGG: Amortized Generative 3D Gaussians for Single Image to 3D

Understand

Given the growing need for automatic 3D content creation pipelines, various 3D representations have been studied to generate 3D objects from a single image.

• Due to its superior rendering efficiency, 3D Gaussian splatting-based models have recently excelled in both 3D reconstruction and generation.
• 3D Gaussian splatting approaches for image to 3D generation are often optimization-based, requiring many computationally expensive score-distillation steps.
• To overcome these challenges, we introduce an Amortized Generative 3D Gaussian framework (AGG) that instantly produces 3D Gaussians from a single image, eliminating the need for per-instance optimization.