GLPN fine-tuned on KITTI
Global-Local Path Networks (GLPN) model trained on KITTI for monocular depth estimation. It was introduced in the paper Global-Local Path Networks for Monocular Depth Estimation…
MADNet Keras
MADNet is a deep stereo depth estimation model. Its key defining features are:
It has a light-weight architecture which means it has low latency.
It supports self-supervised…
Depth Anything model, small
The model card for our paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.
You may also try our demo and visit our project…
Depth Anything (base-sized model, Transformers version)
Depth Anything model. It was introduced in the paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data by Lihe Yang et al.…
Model Details: DPT-Hybrid (also known as MiDaS 3.0)
Dense Prediction Transformer (DPT) model trained on 1.4 million images for monocular depth estimation.
It was introduced in the paper Vision…
Depth Anything (small-sized model, Transformers version)
Depth Anything model. It was introduced in the paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data by Lihe Yang et al.…
Model Details: DPT-Large (also known as MiDaS 3.0)
Dense Prediction Transformer (DPT) model trained on 1.4 million images for monocular depth estimation.
It was introduced in the paper Vision…
Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
This model represents the official checkpoint of the paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation".
Bingxin…