妙可蓝多进博会发布四款自有IP 解锁品牌情感表达新范式
妙可蓝多进博会发布四款自有IP 解锁品牌情感表达新范式生成式视频压缩把码率约束引入画面表示学习
当可用带宽很低时，压缩器要决定哪些细节值得花比特保留。研究团队面向约20千比特每秒的视频压缩，将已有视频模型的视觉表示改造成离散编码，并训练一个较小的熵模型，估计这些编码之间的相关性。编码器与熵模型一起训练，使画面转换成符号的方式也能根据预计的编码成本调整。部分符号分组预测，以便并行解码。 Jiancheng Zhao等人的这项研究收录在11月6日更新的计算机科学预印本列表中。
团队在UVG、MCL-JCV和HEVC Class B三组视频上比较了感知质量与码率。相对GLC-Video，基于LPIPS指标的平均码率节省区间为82.2%至87.5%，按DISTS指标衡量则为78.3%至85.0%。这些百分比来自特定参考方案与感知评价曲线，并不是说任意视频文件都可按同一比例缩小。
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