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EE2-1.7: Multiple candidate selection for MDIP
EE2-3.3: On Multiple transform set selection for inter LFNST/NSPT and Advanced SBT
EE2-1.11: Combination of EE2-1.6b and EE2-1.7
EE2-3.2: Coding of a coefficient level in TSRC
AHG11: Efficient Depthwise Separable Backbone Network for Neural Network in-Loop Filter
AHG12: Budget Control for Transform Skip Residual Coding
AHG12: Bug Fix for ALF Coefficient Calculation
Non-EE2: Multiple Candidate Selection for MDIP
AHG12: Context Modeling for sig_coeff_flag in TSRC
Non-EE2: On inter multiple transform set selection and advanced SBT
EE2-3.6 related: Advanced Budget Control for TSRC
Non-EE2: Extension of Template Types in Regression-Based GPM
AHG9: Supplementation of value range definition and editorial bugs fixes on the GFVE pupil position SEI messages
AHG9/AHG16: Refined Methodology for Pupil Position SEI Message for Generative Face Video
AHG9/AHG16: Update on Pupil position SEI message for Generative Face Video
AHG9/AHG16: Pupil position SEI message for Generative Face Video
[AHG8] Evaluating and Improving Coding Performance for General Image Classification Models
AHG8: Adaptive Mask Pre-Process algorithm for Video Coding for Machines
JVET AHG report: Neural network-based video coding (AHG11)
AHG11: Fourier Series and Laplacian Noise-based Quantization Error Compensation for End-to-End Learning-based Image Compression
AHG11: Neural Network-based Reference CU Quality Enhancement for Motion Compensation Prediction
Encoder-only algorithms in Alibaba and City University of Hong Kong’s response to the Video Coding for Machines CfP
JVET AHG report: Neural network-based video coding (AHG11)
JVET AHG report: Neural network-based video coding (AHG11)
JVET AHG report: Neural network-based video coding (AHG11)
JVET AHG report: Neural network-based video coding (AHG11)
JVET AHG report: Neural network-based video coding (AHG11)
JVET AHG report: Neural network-based video coding (AHG11)
AHG11: Separate density attention network for loop filtering
Improved end to end deep intra frame compression with cross channel context model and loop filter
EE: Neural network based in-loop filtering
AHG11: Multi-density network for in-loop filtering
[DNNVC] Preliminary results of Neural Network Loop Filter
AHG15: Signalling of CU level chroma QP offset
AHG15: Signaling of chroma QP mapping table
Non-CE4: Construction of spatial merge candidates
CE2: Non-local Structure-based Filter
Non-local Structure-based Filter with integer operation
Description of SDR video coding technology proposal by DJI and Peking University
On 6-tap interpolation filter for affine 4x4 blocks
EE2-2.1-related: Multiple Transform Set Selection for TMRL blend