conditional-diffusion
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[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
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Jun 18, 2025 - Python
[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
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Sep 28, 2024
A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datasets
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May 18, 2024 - Python
ICML 2024, Official Implementation of "Cross-view Masked Diffusion Transformers for Person Image Synthesis."
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Nov 5, 2024 - Python
[ICML'24] Adsorbate Placement via Conditional Denoising Diffusion
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May 9, 2024 - Python
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.
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Dec 9, 2024 - Jupyter Notebook
A project focused on generating synthetic fingerprint images using deep learning and image processing techniques. Aims to create realistic fingerprints for use in biometric research, security testing, and dataset augmentation.
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Sep 4, 2024 - Jupyter Notebook
Diffusion Models crash course with Pytorch from DeepLearningAI
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Nov 14, 2024 - Jupyter Notebook
Generative models nano version for fun. No STOA here, nano first.
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May 20, 2024 - Jupyter Notebook
PyTorch implementation for Conditional Image Generation via Score-Based Diffusion Generative Models
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Apr 4, 2024 - Jupyter Notebook
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