Accelerating HEVC Intra Partitioning via a CNN-Hierarchical Attention Transformer Hybrid 事件

Accelerating HEVC Intra Partitioning via a CNN-Hierarchical Attention Transformer Hybrid arXiv:2605.29063v1 Announce Type: cross Abstract: The recursive quad-tree partitioning in High Efficiency Video Coding (HEVC) incurs considerable computational overhead, with exhaustive rate-distortion optimization for CTU partition prediction consuming the dominant share of encoding time. Although partition prediction through deep learning has emerged as a viable encoding accelerator, an architectural dich