3 accepted papers
The Stable Diffusion model is a prominent text-to-image generation model that relies on a text prompt as its input, which is encoded using the Contrastive Language-Image Pre-Training (CLIP). However, text prompts have limitations when it comes to incorporating implicit information from reference ima…
Image captioning is challenging because it connects computer vision and natural language processing. It requires not only sensing objects but also the interrelations and context in an image to generate natural language descriptions. In this paper, we propose to extract a novel visual feature weighte…
Compressive sensing(CS) has been exploited for hypespectral image(HSI) compression in recent years. Though it can greatly reduce the costs of computation and storage, the reconstruction of HSI from a few linear measurements is challenging. The underlying sparsity of HSI is crucial to improve the rec…