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Crosscheck of JVET-AO0108 (EE1-4.1: Deep Reference Frame Generation for Inter Prediction Enhancement with Structural Re-parameterization)
Abstract
This contribution reports the inference and training crosschecks of JVET-AO0108, EE1-4.1[1]. JVET-AO0108 studies the effect of using different loss functions to train the large and small Deep Generation Frame Generation (DRFG) networks which were presented in JVET-AN0195[2] and JVET-AN0193[3], respectively.
JVET-AO0274 Crosscheck of JVET-AO0108 (EE1-4.1: Deep Reference Frame Generation for Inter Prediction Enhancement with Structural Re-parameterization) N. Bhaskar (Huawei) [late]
References:
ARCHIVE
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EE1-4.1.1-DRF-HOP_vs_NNVC-15-Cx.xlsm
EE1-4.1.1-DRF-HOP_vs_NNVC-15-TrainingCx.xlsm
EE1-4.1.2-DRF-LOP_vs_NNVC-15-Cx.xlsm
EE1-4.1.2-DRF-LOP_vs_NNVC-15-TrainingCx.xlsm
EE1-4.1.3-DRF-LOP_vs_NNVC-15-Cx.xlsm
EE1-4.1.3-DRF-LOP_vs_NNVC-15-TrainingCx.xlsm
JVET-AO0274-v3-clean.docx
JVET-AO0274-v3.docx
~$EE1-4.1.2-DRF-LOP_vs_NNVC-15-TrainingCx.xlsm
Decisions
JVET-AO0274 Crosscheck of JVET-AO0108 (EE1-4.1: Deep Reference Frame Generation for Inter Prediction Enhancement with Structural Re-parameterization) N. Bhaskar (Huawei) [late]
Citation