2L3: Lifting Imperfect Generated 2D Images into Accurate 3D

Understand

Reconstructing 3D objects from a single image is an intriguing but challenging problem.

• One promising solution is to utilize multi-view (MV) 3D reconstruction to fuse generated MV images into consistent 3D objects.
• However, the generated images usually suffer from inconsistent lighting, misaligned geometry, and sparse views, leading to poor reconstruction quality.
• To cope with these problems, we present a novel 3D reconstruction framework that leverages intrinsic decomposition guidance, transient-mono prior guidance, and view augmentation to cope with the three issues, respectively.