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English(EN) What Matters in Practical Learned Image Compression

苹果研究人员推出学习图像编解码器，比特率节省3倍，移动速度快

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了一种新的学习图像编解码器，显著改善了感知质量和运行时速度之间的权衡。通过对建模选择和性能感知神经网络架构搜索的全面研究，他们创建了一种编解码器，与AV1和VVC等传统标准相比，比特率节省了2.3-3倍。这种新的编解码器在设备上的性能也令人印象深刻，在iPhone 17 Pro Max上编码和解码12MP图像的速度不到300毫秒。 AI

影响 这项研究可能带来更高效的图像压缩技术，影响媒体存储和流媒体。

排序理由 这是一篇详细介绍学习图像压缩新方法的学术论文。

在 arXiv cs.CV 阅读 →

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苹果研究人员推出学习图像编解码器，比特率节省3倍，移动速度快

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报道来源 [3]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    实用学习图像压缩中的关键因素

    One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed. …

  2. arXiv cs.LG TIER_1 English(EN) · Kedar Tatwawadi, Parisa Rahimzadeh, Zhanghao Sun, Zhiqi Chen, Ziyun Yang, Sanjay Nair, Divija Hasteer, Oren Rippel ·

    实用学习图像压缩中的关键要素

    arXiv:2605.05148v1 Announce Type: cross Abstract: One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual…

  3. arXiv cs.CV TIER_1 English(EN) · Oren Rippel ·

    实用学习图像压缩中的关键因素

    One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed. …

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