Abstract: Recently, the single image super-resolution based on implicit image function is a hot topic, which learns a universal model for arbitrary upsampling scales. By contrast, color-guided depth ...

Abstract: Recent advances in implicit neural representations (INRs) have shown significant promise in modeling visual signals for various low-vision tasks including image super-resolution (ISR).

We introduce a novel implicit neural representation that allows for flexible tuning of the spectral bias, enhancing signal representation and optimization. 🚀 ...

Protein function predictions are bioinformatic methods (i.e. involving computation using software) that aim to predict the function of a protein. Protein function analyses use protein sequences and ...

Learn AI product development fundamentals with local LLMs. Covers prompt engineering, structured output, multi-step reasoning, API design, and frontend integration through 10 comprehensive lessons ...