Photography Video

Photography video research encompasses diverse areas, from enhancing image quality and automating selection processes to creating novel 3D video effects and improving wildlife photography techniques. Current efforts focus on developing advanced algorithms, including neural networks and diffusion models, to achieve tasks like high-dynamic-range image generation from event cameras, self-supervised learning for 3D video rendering from single images, and automated image quality assessment. These advancements aim to improve both the technical capabilities and efficiency of photography workflows, impacting fields ranging from wildlife conservation to professional photography and computer vision.

Papers