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Crosscheck of JVET-AL0084 (EE1-1.2: LOP5 improvement with parallel 1x3/3x1 Backbone)
EE2-related: Additional results for NN-based ILF in ALF
EE1-1.4: Cross-component enhanced LOP filter
AHG11: Cross-component enhanced LOP filter
Crosscheck of JVET-AJ0056 (EE1-4.1 – Wavelet transform for super-resolution loss function)
Cross-check of JVET-AI0074 (EE1-4.1: Multiple scaling ratios coding for NNVC with NNSR)
EE1-4.2: On simplified super resolution model
EE1 (AhG 11): On the complexity adjustment of HOP4
AHG9: On handling of processing chains and grouping of post-processing filters
Crosscheck of JVET-AH0104 (EE1-4.2: Adaptive resolution coding for NNVC-8)
EE1-2.1: HOP separate models
EE1-4 related: On training data of super resolution
Crosscheck of JVET-AH0100 (EE1-related: Multiple scaling ratios coding for NNVC with NNSR)
Crosscheck of JVET-AH0099 (EE1-4.1: Adaptive resolution coding for NNVC-8.0 with RPR s=1.5)
EE1-5: Study of the NN architecture at Very Low Operational Point
EE1-2.2: Wide activation HOP model
EE1-4.1: Adaptive resolution coding for NNVC-8.0 with RPR
EE1-4.1: Unified CNN-based super resolution for resampling-based video coding
EE1-1.1-related: HOP filter complexity alignment with wider activation
EE1-1.1: Report on training with HOP architecture change for EE1-0 (variant 1)
EE1-1.3: Separate models for HOP filter
AHG11: Complexity reduction of NN-based loop-filters
AHG11: Unified CNN super resolution for resampling-based video coding
AhG11/EE1: Status of the joint EE1-0 (LOP.2) training
EE1-1.2.4: An improved inference design of NN-based loop-filters at high operation point
AHG11: A unified design of NN-based loop-filters at low and high operation points
AHG9: On missing value ranges for some syntax elements in the NNPFC SEI message
AHG9: NNPF cleanup and editorial changes for VSEI
Crosscheck of JVET-AD0205 (EE1-1.3: Reduced complexity CNN-based in-loop filtering)
AHG9: Neural-network post-processing filter with downsampling capabilities
On unified NN filter design for NNVC high performance tier
AHG9: Miscellaneous NNPF topics (set 2)
AHG9: NNPF activation parameters
AHG9: Support more NNPF purposes
AHG9: On the NNPFC SEI message involving depth pictures
AHG9: Miscellaneous NNPF topics (set 1)
AHG9: On input pictures to an NNPF
AHG9: On cascading of post-processing filters
AHG9: Combination of picture rate upsampling with other NNPF purposes
AHG9: Miscellaneous cleanups of the neural-network post-filter SEI messages
AHG9: Separate activation of color components for neural-network post-filter
Crosscheck of JVET-AC0118 (EE1-1.8: QP-based loss function design for NN-based in-loop filter)
AHG9: Multiple input pictures for neural-network post-processing filter
AHG9: On additional NNPF purposes
AHG9: Signalling of NNPF quality improvement
Non-EE1: CNN-based super resolution with luma-only rescaling
AHG9: Regional on/off control and selection of NNPFs
AHG9: Miscellaneous aspects of the two neural-network post-filtering SEI messages
AHG9: Separate processing of chroma components for neural-network post-processing filter
AHG9: Auxiliary input for neural-network post-processing filter
AHG9: Activation of a neural-network post-processing filter for multiple pictures
EE1-2.4: CNN-based Super Resolution for Video Coding with GOP Level Adaptive Resolution
Crosscheck of JVET-Z0086 (EE1-1.4: ALF improvement for NNVC)
EE1-2.3: CNN-based Super Resolution for Video Coding Using Separate Networks for Chroma Components
EE1-2.2: CNN-based Super Resolution for Video Coding Using Decoded Information
EE1-2.4: CNN-based Super Resolution for Video Coding Using Separate Networks for Chroma Components
Cross-check of JVET-Y0046 (AHG11: ALF improvement for NNVC)
EE1-2.3: CNN-based Super Resolution for Video Coding Using Decoded Information
EE1-related: CNN-based Super Resolution for Video Coding Using Separate Networks for Chroma Components
EE1-related: CNN-based Super Resolution for Video Coding Using Decoded Information with Simplified Models
EE1-2.2: CNN-based Super Resolution for Video Coding Using Decoded Information
AHG11: CNN-based Super Resolution for Video Coding Using Decoded Information
AHG11: Variable rate end-to-end image compression
AHG9: Convolutional Neural Network Filter (CNNF) for Intra Frame