3D Line Mapping on ScanNet 50 scenes V2 15 benchmark leaderboard · SOTA2 Research

3D Line Mapping on ScanNet 50 scenes V2 15

10.83Accuracy (Line)LIMAP w/ depth

Evaluation Results

Method	Links
LIMAP w/ depth2026.02		10.83	54.99	48.53	2.53	4.54	11.37	55.4	49.04	1.61	2.98	241
LIMAP w/ depth2026.02		8.33	40.92	54.02	5.53	9.6	8.53	42.85	53.26	2.31	4.26	237
LIMAP w/ depth2026.02		8.29	27.82	54.37	11.82	18.4	8.4	29.77	54.11	5.89	10.04	733
LIMAP2026.02		8.28	32.17	64.13	12.94	21.55	8.43	33.56	63.26	7.1	12.63	499
CLMAP2026.02		8.27	27.11	69.39	17.65	28.22	8.4	28.31	68.63	11.21	19.15	1,186
LIMAP2026.02		7.91	45.1	66.99	6.28	11.39	8.11	46.36	65.47	2.93	5.55	172
LIMAP w/ depth2026.02		7.83	34.69	50.97	8.04	12.97	7.86	36.15	51.65	4.2	7.32	658
CLMAP2026.02		7.82	39.55	70.27	8.95	15.75	7.99	40.9	69.27	4.72	8.73	389
LiP-Map2026.02		7.76	12.02	73.08	35.04	46.5	7.81	13.88	73.1	21.58	32.92	3,015
LiP-Map2026.02		7.65	12.6	70.69	32.71	44.38	7.74	14.33	70.68	20.83	31.83	2,974
LIMAP2026.02		7.48	40.94	59.12	8.07	14.36	7.53	41.83	58.73	5.02	9.27	328
CLMAP2026.02		7.48	29.63	66.24	16.1	25.85	7.58	31.85	65.69	7.98	14.07	613
LiP-Map2026.02		7.42	13.84	74.22	33.99	44.3	7.43	15.37	74.31	20.78	32.04	2,934
LiP-Map2026.02		7.35	11.68	74.24	35.21	47.44	7.43	13.5	73.98	21.56	33.01	2,942
LIMAP2026.02		7.33	36.73	64.51	10.64	18.14	7.36	38.16	64.36	5.71	10.38	397
CLMAP2026.02		6.92	33.26	58.93	13.33	22.28	7.02	34.94	58.37	7.28	13.02	529