Masked Attention Based Segmentation Head With Deformable Cross Attention

via “cross-attention mechanism for semantic conditioning”

text-to-image model by undefined. 5,45,314 downloads.

Unique: Implements cross-attention at 4 resolution scales with separate attention heads per scale, enabling hierarchical semantic conditioning. Attention is applied at every residual block, allowing fine-grained control over image generation.

vs others: More flexible than simple concatenation-based conditioning; enables fine-grained semantic control comparable to proprietary models while remaining fully open and interpretable.