Tzu-Jui Julius Wang

Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning

Image Difference Captioning (IDC) methods have advanced in highlighting subtle differences between similar images, but their performance is often constrained by limited training data. Using Large Multimodal Models (LMMs) to describe changes in image pairs mitigates data limits but adds noise. These