Researchers propose a novel self-supervised reconstruction framework for single-pixel imaging that decouples measurement and reconstruction resolution. This enables high-pixel-resolution imaging from low-dimensional measurements, overcoming resolution limitations in conventional single-pixel imaging.
A team of engineers developed a soft, shape-shifting mechanical surface that responds to touch, senses its movements, and visually communicates changes in real time. The platform combines magnetic actuation, embedded sensing, and LED-based visual feedback into a single programmable system.
Researchers from Chalmers University of Technology have developed a technology with the smallest pixels ever, allowing for screens with the highest resolution possible for human eye perception. The breakthrough enables the creation of virtual worlds visually indistinguishable from reality.
Researchers at Pohang University of Science & Technology have developed Pixel-Based Local Sound OLED technology, allowing each pixel to emit different sounds. This breakthrough enables truly localized sound experiences in displays, enhancing realism and immersion.
DragGAN enables non-professionals to perform complex image edits with AI support, adjusting pose, gaze direction, and viewing angle. The method uses Generative Adversarial Networks to generate new images, promising simplified post-processing for AI-generated content.