ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. (arXiv:2208.05621v1 [cs.CV])

Cross-modal fashion image synthesis has emerged as one of the most promising
directions in the generation domain due to the vast untapped potential of
incorporating multiple modalities and the wide range of fashion image
applications. To facilitate accurate generation, cross-modal synthesis methods
typically rely on Contrastive Language-Image Pre-training (CLIP) to align
textual and garment information. In this work, we argue that simply aligning
texture and garment information is not sufficient to capture the semantics of
the visual information and therefore …

alignment arxiv cv design fashion part text