Paper-to-code synthesis on NERFIFY-BENCH 10 NeRF Papers 1.0
100C ScoreNerfify
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| NerfifyTarget Paper=Mip-NeRF [2]2026.02 | 100 | 0 | 0 | 100 | 100 | |
| NerfifyTarget Paper=BioNeRF [39]2026.02 | 100 | 0 | 0 | 100 | 100 | |
| NerfifyTarget Paper=PyNeRF [48]2026.02 | 100 | 0 | 0 | 90 | 97 | |
| NerfifyTarget Paper=TensoRF [5]2026.02 | 100 | 0 | 0 | 95 | 98 | |
| NerfifyTarget Paper=Tetra-NeRF [22]2026.02 | 100 | 0 | 0 | 100 | 100 | |
| NerfifyTarget Paper=E-NeRF [21]2026.02 | 100 | 0 | 0 | 95 | 100 | |
| NerfifyTarget Paper=StyleNeRF [13]2026.02 | 100 | 0 | 0 | 100 | 98 | |
| NerfifyTarget Paper=iNeRF [59]2026.02 | 100 | 0 | 0 | 100 | 97 | |
| NerfifyTarget Paper=SigNeRF [9]2026.02 | 100 | 0 | 0 | 100 | 100 | |
| NerfifyTarget Paper=MCNeRF [14]2026.02 | 100 | 0 | 0 | 100 | 95 | |
| Paper2CodeTarget Paper=Mip-NeRF [2]2026.02 | 83 | 17 | 0 | 83 | 85 | |
| GPT-5Target Paper=BioNeRF [39]2026.02 | 80 | 10 | 10 | 80 | 82 | |
| GPT-5Target Paper=MCNeRF [14]2026.02 | 75 | 25 | 0 | 85 | 95 | |
| R1Target Paper=BioNeRF [39]2026.02 | 70 | 20 | 10 | 70 | 75 | |
| GPT-5Target Paper=TensoRF [5]2026.02 | 70 | 10 | 20 | 75 | 72 | |
| Paper2CodeTarget Paper=iNeRF [59]2026.02 | 70 | 20 | 10 | 80 | 75 | |
| R1Target Paper=Mip-NeRF [2]2026.02 | 67 | 17 | 16 | 67 | 58 | |
| R1Target Paper=Tetra-NeRF [22]2026.02 | 63 | 25 | 13 | 70 | 72 | |
| R1Target Paper=E-NeRF [21]2026.02 | 63 | 25 | 13 | 80 | 72 | |
| R1Target Paper=SigNeRF [9]2026.02 | 63 | 25 | 12 | 75 | 72 | |
| R1Target Paper=TensoRF [5]2026.02 | 60 | 20 | 20 | 70 | 65 | |
| R1Target Paper=iNeRF [59]2026.02 | 60 | 30 | 10 | 70 | 68 | |
| GPT-5Target Paper=Mip-NeRF [2]2026.02 | 50 | 30 | 20 | 60 | 58 | |
| Paper2CodeTarget Paper=PyNeRF [48]2026.02 | 50 | 30 | 20 | 60 | 58 | |
| GPT-5Target Paper=Tetra-NeRF [22]2026.02 | 50 | 25 | 25 | 60 | 58 | |
| GPT-5Target Paper=E-NeRF [21]2026.02 | 50 | 25 | 25 | 75 | 60 | |
| R1Target Paper=StyleNeRF [13]2026.02 | 50 | 30 | 20 | 64 | 62 | |
| GPT-5Target Paper=iNeRF [59]2026.02 | 50 | 30 | 20 | 60 | 58 | |
| GPT-5Target Paper=SigNeRF [9]2026.02 | 50 | 25 | 25 | 63 | 58 | |
| R1Target Paper=MCNeRF [14]2026.02 | 50 | 38 | 13 | 80 | 74 | |
| GPT-5Target Paper=PyNeRF [48]2026.02 | 40 | 30 | 30 | 80 | 52 | |
| GPT-5Target Paper=StyleNeRF [13]2026.02 | 40 | 30 | 30 | 55 | 52 | |
| Paper2CodeTarget Paper=E-NeRF [21]2026.02 | 38 | 25 | 38 | 60 | 48 | |
| Paper2CodeTarget Paper=SigNeRF [9]2026.02 | 38 | 38 | 24 | 50 | 52 | |
| Paper2CodeTarget Paper=BioNeRF [39]2026.02 | 30 | 40 | 30 | 40 | 35 | |
| R1Target Paper=PyNeRF [48]2026.02 | 30 | 60 | 10 | 70 | 68 | |
| Paper2CodeTarget Paper=StyleNeRF [13]2026.02 | 30 | 40 | 30 | 46 | 28 | |
| Paper2CodeTarget Paper=TensoRF [5]2026.02 | 20 | 30 | 50 | 30 | 12 | |
| AutoP2CTarget Paper=Mip-NeRF [2]2026.02 | 17 | 17 | 66 | 25 | 20 | |
| Paper2CodeTarget Paper=Tetra-NeRF [22]2026.02 | 13 | 25 | 63 | 20 | 22 | |
| AutoP2CTarget Paper=BioNeRF [39]2026.02 | 10 | 30 | 60 | 10 | 15 | |
| AutoP2CTarget Paper=TensoRF [5]2026.02 | 10 | 20 | 70 | 15 | 28 | |
| AutoP2CTarget Paper=PyNeRF [48]2026.02 | 0 | 10 | 90 | 10 | 3 | |
| AutoP2CTarget Paper=Tetra-NeRF [22]2026.02 | 0 | 13 | 88 | 0 | 8 | |
| AutoP2CTarget Paper=E-NeRF [21]2026.02 | 0 | 13 | 88 | 0 | 5 | |
| AutoP2CTarget Paper=StyleNeRF [13]2026.02 | 0 | 10 | 90 | 0 | 0 | |
| AutoP2CTarget Paper=iNeRF [59]2026.02 | 0 | 10 | 90 | 0 | 5 | |
| AutoP2CTarget Paper=SigNeRF [9]2026.02 | 0 | 13 | 87 | 0 | 8 | |
| Paper2CodeTarget Paper=MCNeRF [14]2026.02 | 0 | 13 | 88 | 20 | 15 | |
| AutoP2CTarget Paper=MCNeRF [14]2026.02 | 0 | 25 | 75 | 10 | 8 |