Result details - ETH3D

Submitted by LEI YILIN LEI YILIN.

Submission data

Full name	Structurally-compressed Content-preserving Iterative Optimized Network
Description	Our research focuses on bridging the performance-efficiency gap in stereo matching by developing SCION-MonSter, a lightweight stereo depth estimation model derived from the state-of-the-art MonSter architecture.
Programming language(s)	Python+CUDA
Hardware	RTX4090D
Website	https://github.com/rayring539/Monsterl-ite
Source code or download URL	https://github.com/rayring539/Monsterl-ite.git
Submission creation date	31 Mar, 2026
Last edited	31 Mar, 2026

High-res multi-view results

Info	all	high-res multi-view	indoor	outdoor	botani.	boulde.	bridge	door	exhibi.	lectur.	living.	lounge	observ.	old co.	statue	terrac.
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Low-res many-view results

Info	all	low-res many-view	indoor	outdoor	lakeside	sand box	storage room	storage room 2	tunnel
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Low-res two-view results

Info	all	lakes. 1l	lakes. 1s	sand box 1l	sand box 1s	stora. room 1l	stora. room 1s	stora. room 2l	stora. room 2s	stora. room 2 1l	stora. room 2 1s	stora. room 2 2l	stora. room 2 2s	stora. room 3l	stora. room 3s	tunnel 1l	tunnel 1s	tunnel 2l	tunnel 2s	tunnel 3l	tunnel 3s
	0.51	0.42	1.28	0.36	0.46	0.80	0.28	0.77	0.75	0.45	0.70	0.50	0.43	0.64	0.89	0.16	0.12	0.29	0.26	0.41	0.26

SLAM results

		all	boxes	boxes dark	buddha	cables 4	cables 5	desk 1	desk 2	desk changing 2	desk dark 1	desk dark 2	desk global light changes	desk ir light	dino	drone	foreground occlusion	helmet	kidnap 2	lamp	large loop 2	large loop 3	large non loop	motion 2	motion 3	motion 4	planar 1	reflective 2	scale change	table 1	table 2	table 5	table 6	table global light changes	table local light changes	table scene	trashbin
	Method	Info
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