Contrastive Fusion (ConFu) adds a fused-modality contrastive term to jointly align individual modalities and their combinations, enabling capture of higher-order dependencies like XOR relations while preserving pairwise alignments.
Ulip-2: Towards scalable multimodal pre-training for 3d understanding
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PASR performs pose-aware analysis-by-synthesis by aligning 3D projections with DINOv3 patch features, outperforming prior methods on clean and occluded retrieval while also handling pose estimation and classification.
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The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment
Contrastive Fusion (ConFu) adds a fused-modality contrastive term to jointly align individual modalities and their combinations, enabling capture of higher-order dependencies like XOR relations while preserving pairwise alignments.
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PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views
PASR performs pose-aware analysis-by-synthesis by aligning 3D projections with DINOv3 patch features, outperforming prior methods on clean and occluded retrieval while also handling pose estimation and classification.