# High-precision depth map

Distill-Any-Depth is a new SOTA monocular depth estimation model trained using knowledge distillation algorithms.

Depth Anything is a powerful depth estimation model that unleashes the potential of depth estimation using large-scale unlabeled data.

Depth Anything is a depth estimation model based on the DPT architecture and DINOv2 backbone network, trained on approximately 62 million images, achieving state-of-the-art performance in zero-shot depth estimation.

DPT model based on SwinV2 backbone network for monocular depth estimation, trained on 1.4 million images

Monocular depth estimation model based on BEiT backbone network, capable of inferring detailed depth information from a single image

A monocular depth estimation model based on BEiT Transformer, capable of inferring fine depth information from a single image