swyoon/Diffusion-by-MaxEntIRL
The official repository for NeurIPS 2024 Oral
This project offers a refined approach for researchers and engineers working with advanced image generation models. It takes existing diffusion models (like DDPM, DDGAN, or EDM) and, using a maximum entropy inverse reinforcement learning technique, enhances their image generation capabilities. The output is a new, more performant generative model capable of producing high-quality images from datasets like CIFAR-10, ImageNet 64x64, and LSUN Bedroom.
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Use this if you are a machine learning researcher or practitioner looking to improve the fidelity and performance of diffusion-based image generation models for common image datasets.
Not ideal if you are looking for an out-of-the-box solution for general content creation or if you lack expertise in deep learning model training and evaluation.
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Language
Python
License
MIT
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Last pushed
Mar 20, 2025
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