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cs.CV2024
Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
Jungwon Park, Jungmin Ko, Dongnam Byun +2
Recent text-to-image diffusion models leverage cross-attention layers, which have been effectively utilized to enhance a range of visual generative tasks. However, our understandin…
cs.CV2024★ 1 cited
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim, Duhun Hwang, Eunjung Lee +3
In the past few years, contrastive learning has played a central role for the success of visual unsupervised representation learning. Around the same time, high-performance non-con…