Victarry/awesome-image-synthesis
Collection of papers in image synthesis with paper graph.
This is a curated collection of research papers on image synthesis, specifically focusing on Generative Adversarial Networks (GANs) and Autoencoder-based frameworks. It organizes influential papers by architectural advancements and objective functions, providing PDFs and citation counts. Researchers and academics in computer vision and machine learning will find this useful for understanding the historical development and key concepts in generating realistic images.
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Use this if you are a researcher or student looking to understand the foundational and cutting-edge research in image synthesis, especially regarding GANs and Autoencoders, to inform your own work or studies.
Not ideal if you are looking for ready-to-use code, tutorials for implementing image synthesis models, or a resource for general machine learning topics outside of image synthesis.
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Aug 15, 2024
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