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DKT-Mask-1-3B
Daniellesry/DKT-Mask-1-3B
DKT-Mask-1-3B is a machine learning model from Daniellesry. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A transparent-obejct video segmentation model weight based on the learning strategy of Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation.
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Public
Updated Dec 24, 2025
Repo size
175 MB
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2
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025
- SHA
- 5b6c2e4a
Model card
From the Hugging Face model README
Model Card for DKT
A transparent-obejct video segmentation model weight based on the learning strategy of Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation.
Usage
See the Github repository: DKT regarding installation instructions.
The model can then be used as follows:
from dkt.pipelines.pipelines import DKTPipeline
import os
from tools.common_utils import save_video
pipe = DKTPipeline()
demo_path = 'examples/1.mp4'
prediction = pipe(demo_path,prompt='transparent object segmentation')
save_dir = 'logs'
os.makedirs(save_dir, exist_ok=True)
output_path = os.path.join(save_dir, 'demo.mp4')
save_video(prediction['colored_depth_map'], output_path, fps=25)
- License
- apache-2.0
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025