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EE1-1.3: Multiscale blocks in LOP4 and VLOP3 filters
EE1-1.2: LOP with improved Attention and residual groups
Guidelines for NNVC software development
EE2-2.20_2.21: Neural network-based intra prediction with DIMD mode derivation
AhG12: Neural network-based intra prediction with DIMD mode derivation
EE1-1.2 LOP with residual groups and Attention
Guidelines for NNVC software development
EE2-2.8: Modifications to Matrix-based intra prediction
[AhG11] On Low Complexity Operational Point for In-Loop Filtering
Non-EE2: Modifications to Matrix-Based Intra Prediction
EE2-2.13: Matrix based intra prediction replacing conventional intra modes
AHG11: HOP In-loop filter with transformer blocks
AhG11: HOP training process and models
AhG11: EE1-0 High Operation Point model
JVET AHG report: NNVC software development (AHG14)
Guidelines for NNVC software development
On unified NN filter design for NNVC high performance tier
AhG14: Guidelines for NNVC reference software development
EE1-1.6: In-loop filter with wide activation and large receptive field
JVET AHG report: NNVC software development (AHG14)
EE1-Related: Additional results for EE1-1.3.1 and EE1-1.3.5
EE1-1.3: Reduced complexity CNN-based in-loop filtering
EE1-1.9: Reduced complexity CNN-based in-loop filtering
JVET AHG report: NNVC software development (AHG14)
Crosscheck of JVET-AB0073 (EE1-1.4: Deep In-Loop Filter with Additional Input Information)
Preliminary draft of algorithm description for Neural Compression Software (NCS-1)
EE1-1.7: Capacity Ablation of CNN-based in-loop filtering
EE1-related: CNN based in-loop filtering with large activation layer