H.266/VVC技术总结-VTM6各工具性能总结-R0013

1、工具及其简写
Tool Abbreviation
Chroma separate tree CST
Dependent quantization DQ
Cross-component linear model CCLM
multiple transform set MTS
Adaptive loop filter ALF
Affine motion model AFF
subblock-based temporal merging candidates SbTMC
Adaptive motion vector resolution AMVR
Geometric partition mode GPM
Bi-directional optical flow BDOF
Combined intra/inter prediction CIIP
Merge with MVD MMVD
Bi-prediction with CU weights BCW
Multi-reference line prediction MRLP
Intra block copy, tool on test IBC
Intra sub-partitioning ISP
Decoder motion vector refinement DMVR
Sub-block Transform SBT
Luma Mapping with Chroma Scaling LMCS
Symmetric motion vector difference SMVD
Quantized residual DPCM BDPCM
Matrix based intra prediction MIP
Low frequency non-separable transform LFNST
Joint coding of chrominance residuals JCCR
Sampled adaptive offset SAO
Prediction refinement using optical flow PROF
Cross component adaptive loop filter CCALF
Palette coding mode** PLT
Adaptive colour transform** ACT
2、AI模式

H.266/VVC技术总结-VTM6各工具性能总结-R0013_第1张图片

3、RA模式

H.266/VVC技术总结-VTM6各工具性能总结-R0013_第2张图片

4、LDB模式

H.266/VVC技术总结-VTM6各工具性能总结-R0013_第3张图片

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