6 citations · 14 across the 14 of their papers we have counts for
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cs.MM2023★ 1 cited
On Copyright Risks of Text-to-Image Diffusion Models
Yang Zhang, Teoh Tze Tzun, Lim Wei Hern +2
Diffusion models excel in many generative modeling tasks, notably in creating images from text prompts, a task referred to as text-to-image (T2I) generation. Despite the ability to…
cs.CV2023★ 5 cited
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
Haonan Wang, Minbin Huang, Runhui Huang +7
Contrastive Language-Image Pre-training (CLIP) has become the standard for cross-modal image-text representation learning. Improving CLIP typically requires additional data and ret…