Shadow Removal on SRD (test)

4.04RMSE

Ours-Large

Updated 4d ago

Evaluation Results

Method
Ours-Large 2023.02	4.04	5.9	3.44	36.91	98.9	36.22	98.9	32.9	95.8
Ours-Small 2023.02	4.09	6.05	3.55	36.13	98.8	35.95	98.6	32.38	95.5
DC-ShadowNet 2022.07	4.66	7.7	3.39	-	-	-	-	-	-
Zhu et al. 2023.02	4.79	7.44	3.74	34.94	98	35.85	98.2	31.72	95.2
DSC 2022.07	4.86	8.81	3.23	-	-	-	-	-	-
DeShadowNet 2022.07	5.11	3.57	8.82	-	-	-	-	-	-
DHAN 2021.03	5.67	8.94	4.8	-	-	-	-	-	-
DHAN 2023.02	5.67	8.94	4.8	33.67	97.8	34.79	97.9	30.51	94.9
DSC 2023.02	5.71	8.62	4.41	30.65	96	31.94	96.5	27.76	90.3
DSC 2018.05	6.21	-	-	-	-	-	-	-	-
DSC 2021.03	6.23	10.89	4.99	-	-	-	-	-	-
Mask-ShadowGAN 2022.07	6.4	11.46	4.29	-	-	-	-	-	-
Fu et al. 2023.02	6.5	9.55	5.74	32.26	96.6	31.87	94.5	28.4	89.3
Auto-exposure Fusion Network 2021.03	6.51	8.56	5.75	-	-	-	-	-	-
DeshadowNet 2018.05	6.64	-	-	-	-	-	-	-	-
DeshadowNet 2021.03	6.64	11.78	4.84	-	-	-	-	-	-
Gong et al. 2018.05	8.73	-	-	-	-	-	-	-	-
Gong et al. 2022.07	12.35	25.43	6.91	-	-	-	-	-	-
Guo et al. 2018.05	12.6	-	-	-	-	-	-	-	-
Guo et al. 2021.03	12.6	29.89	6.47	-	-	-	-	-	-
Guo et al. 2023.02	12.6	29.89	6.47	-	-	-	-	-	-
Input Image 2022.07	13.77	37.4	3.96	-	-	-	-	-	-
Input Image 2023.02	14.05	36.69	4.83	18.96	87.1	31.47	97.5	18.19	83
Input Image 2021.03	14.11	40.28	4.76	-	-	-	-	-	-
Yang et al. 2018.05	22.57	-	-	-	-	-	-	-	-
AutoExposure 2024.12	-	-	-	-	-	-	-	29.24	93.8
Zhu et al. 2024.12	-	-	-	-	-	-	-	32.05	96.5
BMNet 2024.12	-	-	-	-	-	-	-	31.97	96.5
ShadowFormer 2024.12	-	-	-	-	-	-	-	32.9	95.8
DMTN 2024.12	-	-	-	-	-	-	-	33.77	96.8
ShadowDiffusion 2024.12	-	-	-	-	-	-	-	34.73	97
HomoFormer 2024.12	-	-	-	-	-	-	-	34.36	97.7
InstanceShadow 2024.12	-	-	-	-	-	-	-	31.61	95.9
TBRNet 2024.12	-	-	-	-	-	-	-	31.83	95.3
Refusion 2024.12	-	-	-	-	-	-	-	31.6	94.9
DeS3 2024.12	-	-	-	-	-	-	-	34.11	96.8
OmniSR 2024.12	-	-	-	-	-	-	-	32.87	96.9
Detail-Preserving Latent Diffusion 2024.12	-	-	-	-	-	-	-	33.63	96.8