Transforming the Future of Artificial Intelligence (AI) and Image Synthesis with Classifier-free-guided Deep Variational Auto-Encoders

Deep generative modeling has emerged as a powerful approach for generating high-quality images in recent years. Specifically, technical improvements in utilizing techniques like diffusion and autoregressive models have enabled the generation of stunning and photo-realistic images conditioned on a text input prompt. Although these models offer remarkable performance, they suffer from a significant limitation: their […]

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