notesum.ai

Published at December 5

Learnable Infinite Taylor Gaussian for Dynamic View Rendering

cs.CV

Released Date: December 5, 2024

Authors: Bingbing Hu¹, Yanyan Li², Rui Xie, Bo Xu, Haoye Dong, Junfeng Yao, Gim Hee Lee

Aff.: ¹Xiamen University; ²National University of Singapore

Arxiv: http://arxiv.org/pdf/2412.04282v1

Method	Cook Spinach			Sear Steak			Flame Steak
Method	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$
MixVoxels [37]	31.39	0.931	0.113	30.85	0.940	0.103	30.15	0.938	0.108
K-Planes [8]	31.23	0.926	0.114	30.28	0.937	0.104	31.49	0.940	0.102
HexPlane [2]	31.05	0.928	0.114	30.00	0.939	0.105	30.42	0.939	0.104
HyperReel [1]	31.77	0.932	0.090	31.88	0.942	0.080	31.48	0.939	0.083
NeRFPlayer [35]	30.58	0.929	0.113	29.13	0.908	0.138	31.93	0.950	0.088
StreamRF [18]	30.89	0.914	0.162	31.60	0.925	0.147	31.37	0.923	0.152
SWinGS [34]	31.96	0.946	0.094	32.21	0.950	0.092	32.18	0.953	0.087
D3DGS [39]	20.53	0.881	0.153	25.02	0.944	0.072	23.02	0.919	0.113
4DGS [38]	28.12	0.940	0.038	29.07	0.957	0.028	25.04	0.918	0.079
FSGS [44]	29.60	0.919	0.115	29.87	0.945	0.116	29.42	0.943	0.113
Ours	30.17	0.945	0.073	38.43	0.985	0.030	37.64	0.984	0.029
Method	Flame Salmon			Coffee Martini			Cut Roast Beef
Method	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$	PSNR $\uparrow$	SSIM $\uparrow$	LPIPS $\downarrow$
MixVoxels [37]	29.50	0.898	0.163	29.25	0.901	0.147	31.38	0.928	0.111
K-Planes [8]	29.58	0.901	0.132	29.30	0.900	0.134	31.87	0.928	0.114
HexPlane [2]	29.23	0.905	0.088	28.45	0.891	0.149	30.83	0.927	0.115
HyperReel [1]	28.26	0.941	0.136	28.65	0.897	0.129	32.25	0.936	0.086
NeRFPlayer [35]	31.65	0.940	0.098	31.53	0.951	0.085	29.35	0.908	0.144
StreamRF [18]	28.69	0.872	0.229	28.13	0.873	0.219	30.75	0.917	0.154
SWinGS [34]	29.25	0.925	0.100	29.16	0.921	0.105	31.84	0.945	0.099
D3DGS [39]	23.03	0.863	0.153	23.42	0.865	0.138	22.35	0.907	0.125
4DGS [38]	27.90	0.916	0.063	28.18	0.924	0.049	29.71	0.944	0.033
FSGS [44]	28.06	0.926	0.102	26.57	0.907	0.169	28.46	0.913	0.122
Ours	31.85	0.972	0.075	32.52	0.974	0.074	36.96	0.984	0.035