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HyDen DA2 Relative Depth
HyDen is a hybrid dual-path vision encoder for high-resolution monocular geometry that pairs a low-resolution transformer branch for global context with a full-resolution CNN branch for fine detail, delivering state-of-the-art accuracy at a fraction of the inference cost of competing methods. This checkpoint is the HyDen variant of DepthAnything-v2-large.
Paper: Hyden: A Hybrid Dual-Path Encoder for Monocular Geometry of High-resolution Images (ICLR 2026). Code, loader, and inference: https://github.com/facebookresearch/metadepth
Model details
- Task: monocular relative depth estimation
- Output: unnormalized inverse depth
- Weights precision: FP32
- Checkpoint:
hyden_da2_reldepth_vitl_fp32_f809396504.pth - License: FAIR Noncommercial Research License
Usage
Loader, preprocessing, and inference live in the MetaDepth repository: https://github.com/facebookresearch/metadepth
Download the checkpoint directly from this page, or via the
huggingface_hub API:
from huggingface_hub import hf_hub_download
ckpt_path = hf_hub_download(
repo_id="facebook/hyden-da2-relative-depth",
filename="hyden_da2_reldepth_vitl_fp32_f809396504.pth",
)
Citation
@inproceedings{zhang2026hyden,
title = {Hyden: A Hybrid Dual-Path Encoder for Monocular Geometry of High-resolution Images},
author = {Zaiwei Zhang and Marc Mapeke and Wei Ye and Rakesh Ranjan and JQ Huang},
booktitle = {The Fourteenth International Conference on Learning Representations},
year = {2026},
url = {https://openreview.net/forum?id=2eL6yXLCh8}
}
Contact
Open an issue on facebookresearch/metadepth.