ZipDepth (base) — pretrained checkpoints

Mirror of the official ZipDepth release checkpoints for use with hf_hub_download (e.g. the monopriors package in rerun-io/examples-monorepo).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Tosi, Bartolomei, Poggi, Mattoccia — ECCV 2026. Paper: https://arxiv.org/abs/2607.08771 · Code: https://github.com/fabiotosi92/ZipDepth (pixi fork: https://github.com/pablovela5620/ZipDepth)

File	Upsampling	Params (fused)	Use
zipdepth_base.pth	Convex (torch.nn.Unfold)	~6.1 M	GPU / server (upsample_unfold=True)
zipdepth_base_npu.pth	Convex, unfold-free	~6.1 M	NPU / mobile / ONNX export (upsample_unfold=False)

Both share identical encoder/decoder weights; only the upsampling head differs. Output is relative inverse depth (disparity up to scale). Trained at 384×384.

from huggingface_hub import hf_hub_download
ckpt = hf_hub_download("pablovela5620/zipdepth", "zipdepth_base.pth")

License: MIT (see LICENSE, © the ZipDepth authors).