RIGI improves image-to-3D generation by estimating pixel-wise uncertainty from the difference between two 3D Gaussian models and using it to reweight the reconstruction loss, reducing artifacts from inconsistent multi-view pseudo-labels.
Composed image retrieval with text feedback via multi-grained uncertainty regularization
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RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning
RIGI improves image-to-3D generation by estimating pixel-wise uncertainty from the difference between two 3D Gaussian models and using it to reweight the reconstruction loss, reducing artifacts from inconsistent multi-view pseudo-labels.