BiliSakura / ddpm-cd-dsifn-50-100-400

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Introduction of ddpm-cd-dsifn-50-100-400

Model Details of ddpm-cd-dsifn-50-100-400

BiliSakura/ddpm-cd-dsifn-50-100-400

Change detection pipeline — DDPM-CD fine-tuned on DSIFN. Uses SR3 UNet backbone + CD head with timesteps [50, 100, 400].

Model Details
  • Dataset : DSIFN
  • Timesteps : 50, 100, 400
  • Architecture : DDPM (SR3 UNet) + cd_head_v2
Usage
from src.pipelines import DDPMCDPipeline
import torch

pipe = DDPMCDPipeline.from_pretrained("BiliSakura/ddpm-cd-dsifn-50-100-400")  # or "models/BiliSakura/BiliSakura/ddpm-cd-dsifn-50-100-400"
# pipe will auto-load cd_head when present

# Images in [-1, 1], shape (B, 3, H, W)
change_map = pipe(image_A, image_B, timesteps=[50, 100, 400])
pred = change_map.argmax(1)  # (B, H, W), 0=no-change, 1=change
Citation
@misc{bandara2024ddpmcdv3,
    title={DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection},
    author={Wele Gedara Chaminda Bandara and Nithin Gopalakrishnan Nair and Vishal M. Patel},
    year={2024},
    eprint={2206.11892},
    archivePrefix={arXiv},
    primaryClass={cs.CV},
}

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