To ensure good performance, modern machine learning models typically require large
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …

As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

We propose a method for editing images from human instructions: given an input image and
a written instruction that tells the model what to do, our model follows these instructions to …

The pursuit of artificial general intelligence (AGI) continuously demands higher computing
performance. Despite the superior processing speed and efficiency of integrated photonic …

Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …

Diffusion models have demonstrated impressive performance in various image generation,
editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable …

Text-to-image generative models are a new and powerful way to generate visual artwork.
However, the open-ended nature of text as interaction is double-edged; while users can …

Current perceptual similarity metrics operate at the level of pixels and patches. These
metrics compare images in terms of their low-level colors and textures, but fail to capture mid …

Recently few-shot segmentation (FSS) has been extensively developed. Most previous
works strive to achieve generalization through the meta-learning framework derived from …

Underwater crack detection is necessary for the safe operation of concrete dams. Current
deep-learning-based underwater crack detection methods rely heavily on a large number of …