Firehose

This paper proposes a new method for low-light imaging that combines RGB and Near-Infrared (NIR) images in 3D space to improve image quality without requiring clean RGB data. Practitioners might care because it could lead to more robust and reliable low-light imaging systems.

This paper introduces a benchmark to evaluate the performance of models in editing multi-person images, focusing on anatomical and geometric accuracy. Practitioners in the field of computer vision and image editing might care about this research as it aims to improve the quality of human-like images with multiple people.