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JVET AHG report: NNVC software development (AHG14)
Exploration experiment on neural network-based video coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
Exploration experiment on neural network-based video coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
Exploration experiment on neural network-based video coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
EE1: Exploration experiment on neural network-based video coding
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
EE1: Exploration experiment on neural network-based video coding
EE1: Summary report of exploration experiment on neural network-based video coding
EE1-3.3 – NNVC-VLOP3 retraining adding BVI-AOM
JVET AHG report: NNVC software development (AHG14)
Exploration Experiments on Neural Network-based Video Coding (EE1)
Report on NN-ILF interface for ECM
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: NNVC software development (AHG14)
Exploration Experiments on Neural Network-based Video Coding (EE1)
Crosscheck of JVET-AI0079 (Improved OBIC with PDP)
JVET AHG report: NNVC software development (AHG14)
EE1: Summary report of exploration experiment on neural network-based video coding
Exploration Experiments on Neural Network-based Video Coding (EE1)
Crosscheck of JVET-AH0205 (EE1-2.3: Integer implementation of HOP In-loop filter with Transformer blocks and Attention blocks)
Crosscheck of JVET-AH0080 (EE1-1.2: Joint LOP model with inputs transformed)
Crosscheck of JVET-AH0071 (EE2-related: IntraTMP extension to TIMD)
EE1: Summary report of exploration experiment on neural network-based video coding
EE1-2.1: HOP separate models
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
EE1-1.1: Report on training with HOP architecture change for EE1-0 (variant 1)
EE1-1.4: Joint design of rotation and flipping on NNLF
EE1-1.3: Separate models for HOP filter
Exploration Experiments on Neural Network-based Video Coding (EE1)
AHG11: Decoder complexity optimization for NNVC in-loop filter
AhG11/EE1: Status of the joint EE1-0 (LOP.2) training
Crosscheck of JVET-AF0086 (EE1-1.2.6: On flipping of input and output of model in NNVC HOP filter)
EE1-1.2.3: Input and output rotation of model for NNVC in-loop filter
EE1-1.1.5: Combination test of EE1-1.1.1 and EE1-1.1.2
EE1-1.1.1: Optimization for complexity-performance trade-off of HOP network
AhG11: HOP full results
AhG11: HOP training process and models
AhG11: EE1-0 High Operation Point model
AHG11/AHG14: Fix MS-SSIM calculation for SR
AHG11: Input and output rotation of model for NNVC in-loop filter
EE1-1.5: Optimization for complexity-performance trade-off of HOP network
EE1-1.7-related: Combination test for NNVC based on filter set 0
AHG11: Unified NNLF solution for high operation point
Crosscheck of JVET-AD0070 (EE1-1.9: Improvement over multi-frame model for NNVC filter set1)
Crosscheck of JVET-AD0069 (EE1-1.8: On flipping of input and output of model in NNVC filter set0)
Crosscheck of JVET-AD0068 (EE1-1.2: On adjustment of residual for NNLF)
EE1-1.7: Optimization of training and network for NNVC filter set 0
EE1-related: Combination of EE1-1.1 and EE1-1.2
Crosscheck of JVET-AC0089 (EE1-1.5: Combined intra and inter models for luma and chroma)
EE1-1.1-related: More refinements on NN based in-loop filter
EE1-1.2: encoder-only optimization for NN based in-loop filter with a single model
Crosscheck of JVET-AC0066 (EE1-related: Improvement on EE1-1.7)
Crosscheck of JVET-AC0065 (Non-EE1: On flipping of input and output of model in NNVC filter set 0)
Crosscheck of JVET-AC0064 (EE1-1.4: On adjustment of residual for NNLF)
Crosscheck of JVET-AC0063 (EE1-1.3: On chroma order adjustment in NNLF)
EE1-2.2: GOP Level Adaptive Resampling with CNN-based Super Resolution
EE1-1.1: More refinements on NN based in-loop filter with a single model
EE1-2.3 related: GOP Level Adaptive Resampling with CNN-based Super Resolution
Crosscheck of JVET-AB0077 (EE1-2.2: CNN Filter for Super-Resolution with RPR functionality in VVC)
Crosscheck of JVET-AB0076 (EE1-2.1: RPR-Based Super-Resolution Guided by Partition Information)
EE1-2.3:A CNN-based Super Resolution Method with GOP Level Adaptive Resolution
AHG11: Neural Network based Super Resolution for Video Coding Using Multiple Side Information
EE1-1.1: The Performance of Single-Model Filter Trained on the VTM and ECM Reconstruction
EE1-related: The performance of EE1 Test 1.1 and Test 1.2 on ECM-4.0
AHG11: neural network based cross-component prediction model
EE1: Summary report of exploration experiment on neural network-based video coding