The article presents ‘Swintormer’, a new model for image deblurring that offers improved performance and lower memory usage. It uses a diffusion model to generate latent prior features, helping to…
Continue readingThe article introduces LLaMA Pro, a novel post-pretraining method for Large Language Models (LLMs) that expands Transformer blocks. Unlike other LLMs, which can forget old skills when acquiring new ones,…
Continue readingThis research paper reveals that Large Language Models (LLMs), despite being trained solely on textual data, are surprisingly effective encoders for purely visual tasks. This is achieved by using a…
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