Pixel Wise Depth

Pixel-wise depth estimation aims to assign a depth value to each pixel in an image, enabling 3D scene reconstruction from images or videos. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs) and increasingly, transformer architectures, to achieve this, often incorporating multi-view stereo techniques or leveraging ground depth estimation to improve accuracy and robustness. This field is crucial for applications like autonomous driving, robotics, and augmented reality, as accurate depth perception is fundamental for safe and effective navigation and interaction with the 3D world. Ongoing efforts focus on improving model generalization across diverse datasets and enhancing robustness to noise, occlusions, and adversarial attacks.