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unimatch-gmflow-scale2-regrefine6-mixdata
xboix/unimatch-gmflow-scale2-regrefine6-mixdata
unimatch-gmflow-scale2-regrefine6-mixdata is a machine learning model from xboix. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
Mirror of the gmflow-scale2-regrefine6-mixdata-train320x576-4e7b215d.pth optical-flow checkpoint from autonomousvision/unimatch, re-hosted for use with AmalgamationAI's OpticalFlow component model.
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Updated Jun 17, 2026
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.pth29.5 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jun 17, 2026
- Updated
- Jun 17, 2026
- SHA
- d0f19401
Model card
From the Hugging Face model README
unimatch GMFlow-scale2-regrefine6-mixdata (optical flow)
Mirror of the gmflow-scale2-regrefine6-mixdata-train320x576-4e7b215d.pth optical-flow
checkpoint from autonomousvision/unimatch,
re-hosted for use with AmalgamationAI's OpticalFlow component model.
unimatch ships no official HuggingFace repo and distributes weights via a release URL only; this repo exists so the weights resolve through the standard HF model cache.
- File:
gmflow-scale2-regrefine6-mixdata-train320x576-4e7b215d.pth(sha256 prefix4e7b215d) - Architecture: GMFlow,
num_scales=2,upsample_factor=4,reg_refine=True,num_transformer_layers=6(load withstrict=True). - Upstream source:
https://s3.eu-central-1.amazonaws.com/avg-projects/unimatch/pretrained/ - License: MIT (Copyright (c) 2022 autonomousvision).
- Citation: Xu et al., "Unifying Flow, Stereo and Depth Estimation", TPAMI 2023.
- Library
- pytorch
- License
- mit
- Created
- Jun 17, 2026
- Updated
- Jun 17, 2026