zju-pi/Awesome-Conditional-Diffusion-Models
This repository maintains a collection of important papers on conditional image synthesis with diffusion models (Survey Paper published in TMLR2025)
This project is a curated collection of significant research papers focused on generating images based on specific instructions or data using diffusion models. It helps researchers, PhD students, and academics in computer vision understand how conditions like text or other images are integrated into these models to produce diverse visual content. You'll find papers categorized by their approach to conditional image synthesis, from which you can extract methodologies and insights.
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Use this if you are a researcher or academic studying advanced image generation techniques and need a comprehensive overview of conditional image synthesis with diffusion models, especially for your literature review or to grasp core concepts.
Not ideal if you are looking for ready-to-use code, pre-trained models, or a tutorial for implementing diffusion models for practical image generation tasks.
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Jun 13, 2025
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