ADfM-Net: An Adversarial Depth-From-Motion Network Based on Cross Attention and Motion Enhanced
The temporal consistent and accurate depth estimation for consecutive images is essential for many downstream applications. However, most existing methods only infer depth from a single image, ignoring the temporal information and important depth cues from motion in the sequence. Additionally, the d