NoOneUST/IS-MVSNet
[ECCV 2022] IS-MVSNet: Importance-sampling-based MVSNet
This tool helps 3D scanning and computer vision practitioners reconstruct detailed 3D models from multiple photographs. You input a set of images taken from different viewpoints of a scene or object, along with camera calibration data. It outputs high-resolution depth maps and fused 3D point clouds, which are essential for creating accurate digital representations of real-world environments. This is ideal for professionals in fields like digital surveying, heritage preservation, or visual effects.
295 stars. No commits in the last 6 months.
Use this if you need to generate highly detailed 3D point clouds from multiple images, especially when fine geometric details are critical.
Not ideal if you require real-time 3D reconstruction or are working with single images rather than multiple views.
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295
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6
Language
Python
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Last pushed
Nov 15, 2022
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