ISCAS 2024
| The 3rd Grand Challenge on Neural Network-based Video Coding | ||||
|---|---|---|---|---|
| Track | Rank | Team Name | BD-Rate (PSNR) | Time Saving (Encoder) |
| End-to-end Over HM 16.22 | 1 | OptiBlend | -28.44% | — |
| 2 | DWH | -27.20% | — | |
| 3 | e2e_anonymous-1 | -16.55% | — | |
| 4 | e2e_anonymous-2 | -16.54% | — | |
| 5 | USTC-iVC | -15.90% | — | |
| 6 | IMCLAI | -4.08% | — | |
| 7 | e2e_anonymous-3 | 5.94% | — | |
| 8 | NYCU_MAPL | 25.96% | — | |
| 9 | PKUSZ-LVC | 76.70% | — | |
| Hybrid Over HM 16.22 | 1 | CTU | -55.55% | — |
| 2 | hybrid_ECM | -50.79% | — | |
| 3 | hybrid_NNVC | -45.77% | — | |
| 4 | hybrid_VVC | -38.63% | — | |
| 5 | BVI-HybridVC | -36.54% | — | |
| VVC encoder Over VTM 23.2 | 1 | RateRapid | -1.59% | 30% |
| 2 | AI4Codec | 1.94% | 90% | |
| 3 | encoder_vvenc | 7.73% | 55% | |
The Grand Challenge only awards the first place based on the BD-Rate.