RGB D Fusion

RGB-D fusion integrates data from color (RGB) and depth (D) sensors to improve the accuracy and robustness of computer vision tasks. Current research emphasizes efficient fusion strategies within various architectures, including Vision Transformers and diffusion models, focusing on addressing challenges like noisy depth data, handling diverse object scales and improving performance in challenging environments (e.g., low light, adverse weather). This research is significant for advancing applications such as autonomous driving, robotics, medical imaging, and 3D scene reconstruction by enabling more reliable and accurate perception in complex scenarios.