Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Abstract: Learned lossless compression methods for volumetric biomedical images have achieved significant performance improvements compared with the traditional ones. However, they often perform ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...
2025-05-20: This repo is released. Training consists of two stages. In the first stage, we train hyper-encoders. In the second stage, we fine-tune both hyper-encoders and OSCAR's UNet with LoRA.
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