Comparison results of the proposed method with the G-PCC and other learning based methods in terms of BD-PSNR(Y) (dB) and BD-RATE (%).
| Dataset | Point Cloud | Ours vs G-PCC(TMC13v23) | Ours vs Hyper | Ours vs Joint | |||
|---|---|---|---|---|---|---|---|
| BD-PSNR (dB) ↑ | BD-RATE (%) ↓ | BD-PSNR (dB)↑ | BD-RATE (%) ↓ | BD-PSNR (dB)↑ | BD-RATE (%) ↓ | ||
| longdress | +0.74 | −17.58 | +1.09 | −26.81 | +0.57 | −16.19 | |
| loot | −1.09 | +50.54 | +0.60 | −17.80 | -0.16 | +7.59 | |
| 8iVFBv2 | redandblack | −0.66 | +24.20 | +0.55 | −15.43 | -0.19 | +8.42 |
| soldier | +0.05 | −1.29 | +1.10 | −28.66 | +0.62 | −18.98 | |
| Average | -0.24 | +13.95 | +0.84 | −22.18 | +0.21 | −4.79 | |
| basketball_player | −0.23 | +9.73 | +0.67 | −21.14 | −0.08 | +4.03 | |
| dancer | −0.42 | +14.71 | +0.60 | −18.92 | −0.10 | +4.82 | |
| Owlii | exercise | −0.55 | +28.79 | +0.35 | −15.16 | −0.27 | +17.44 |
| model | −0.56 | +17.01 | +0.62 | −18.20 | +0.10 | −2.75 | |
| Average | −0.44 | +17.56 | +0.56 | −18.36 | −0.09 | +5.89 | |
| ScanNet | Average | −0.44 | +14.63 | +1.25 | −31.61 | +0.25 | +18.30 |
| SensatUrban | Average | +0.70 | −17.33 | +1.06 | −30.27 | +0.52 | −6.77 |
| Dataset | Point Cloud | Ours vs G-PCC(TMC13v23) | Ours vs Hyper | Ours vs Joint | |||
|---|---|---|---|---|---|---|---|
| BD-PSNR (dB) ↑ | BD-RATE (%) ↓ | BD-PSNR (dB)↑ | BD-RATE (%) ↓ | BD-PSNR (dB)↑ | BD-RATE (%) ↓ | ||
| longdress | +0.74 | −17.58 | +1.09 | −26.81 | +0.57 | −16.19 | |
| loot | −1.09 | +50.54 | +0.60 | −17.80 | -0.16 | +7.59 | |
| 8iVFBv2 | redandblack | −0.66 | +24.20 | +0.55 | −15.43 | -0.19 | +8.42 |
| soldier | +0.05 | −1.29 | +1.10 | −28.66 | +0.62 | −18.98 | |
| -0.24 | +13.95 | +0.84 | −22.18 | +0.21 | −4.79 | ||
| basketball_player | −0.23 | +9.73 | +0.67 | −21.14 | −0.08 | +4.03 | |
| dancer | −0.42 | +14.71 | +0.60 | −18.92 | −0.10 | +4.82 | |
| Owlii | exercise | −0.55 | +28.79 | +0.35 | −15.16 | −0.27 | +17.44 |
| model | −0.56 | +17.01 | +0.62 | −18.20 | +0.10 | −2.75 | |
| −0.44 | +17.56 | +0.56 | −18.36 | −0.09 | +5.89 | ||
| ScanNet | −0.44 | +14.63 | +1.25 | −31.61 | +0.25 | +18.30 | |
| SensatUrban | +0.70 | −17.33 | +1.06 | −30.27 | +0.52 | −6.77 | |