metadata
license: mit
tags:
- change-detection
- image-registration
- optical-flow
- diffusion-features
- remote-sensing
library_name: pytorch
pipeline_tag: image-segmentation
DiffRegCD — Pretrained Weights
Pretrained checkpoints for DiffRegCD: Integrated Registration and Change Detection with Diffusion Features (WACV 2026).
- 📄 Paper: https://arxiv.org/abs/2511.07935
- 💻 Code: https://github.com/Anita-Madani/DiffRegCD-Integrated-Registration-and-Change-Detection-with-Diffusion-Features
Files
| File | Description |
|---|---|
I200000_E3_gen.pth |
Frozen DDPM backbone (diffusion feature extractor, shared by all datasets) |
levir/best_reg_model_gen.pth, levir/best_cd_model_gen.pth |
LEVIR-CD registration + change heads |
dsifn/… |
DSIFN-CD registration + change heads |
whu/… |
WHU-CD registration + change heads |
sysu/… |
SYSU-CD registration + change heads |
vl_cmu_cd/… |
VL-CMU-CD registration + change heads |
Usage
git clone https://github.com/Anita-Madani/DiffRegCD-Integrated-Registration-and-Change-Detection-with-Diffusion-Features.git
cd DiffRegCD-*
pip install -U huggingface_hub
bash scripts/download_weights.sh # pulls everything here into ./checkpoints/
python main.py -c config/levir_test.json -p test
Citation
@article{madani2025diffregcd,
title = {DiffRegCD: Integrated Registration and Change Detection with Diffusion Features},
author = {Madani, Seyedehanita and Chellappa, Rama and Patel, Vishal M.},
journal = {arXiv preprint arXiv:2511.07935},
year = {2025}
}