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Multi-view stereo-regulated NeRF for urban scene novel view synthesis
Neural radiance fields (NeRF), which encode a scene into a neural representation, have demonstrated impressive novel view synthesis quality on single...
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PM-MVS: PatchMatch multi-view stereo
PatchMatch Stereo is a method for generating a depth map from stereo images by repeating spatial propagation and view propagation. The concept of...
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CT-MVSNet: Curvature-guided multi-view stereo with transformers
Multi-view stereo (MVS) can fulfill dense three-dimensional reconstruction from a collection of multi-view images. Although deep learning-based MVS...
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Multi-distribution fitting for multi-view stereo
We propose a multi-view stereo network based on multi-distribution fitting (MDF-Net), which achieves high-resolution depth map prediction with low...
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Multi-view Stereo Reconstruction
This chapter discusses the problem of multi-view stereo reconstruction, which is the process of recovering the surface of an object from many images....
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Feature distribution normalization network for multi-view stereo
As a key technique in 3D reconstruction, research in multi-view stereo (MVS) has made significant progress with the development of deep learning....
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Uncertainty awareness with adaptive propagation for multi-view stereo
The learning-based multi-view stereo method predicts depth maps across various scales in a coarse-to-fine approach, effectively enhancing both the...
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Enhanced feature pyramid for multi-view stereo with adaptive correlation cost volume
AbstractMulti-level features are commonly employed in the cascade network, which is currently the dominant framework in multi-view stereo (MVS)....
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Multi-view stereo network with point attention
In recent years, learning-based multi-view stereo (MVS) reconstruction has gained superiority when compared with traditional methods. In this paper,...
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DAR-MVSNet: a novel dual attention residual network for multi-view stereo
Learning-based multi-view stereo (MVS) has shown great promise in the field of 3D reconstruction. However, existing MVS methods suffer from fixed...
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Vis-MVSNet: Visibility-Aware Multi-view Stereo Network
Learning-based multi-view stereo (MVS) methods have demonstrated promising results. However, very few existing networks explicitly take the...
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MFNet: Multi-level fusion aware feature pyramid based multi-view stereo network for 3D reconstruction
We present an efficient multi-view stereo (MVS) network for 3D reconstruction from multi-view images. While the existing state-of-the-art methods...
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LGP-MVS: combined local and global planar priors guidance for indoor multi-view stereo
Multi-view stereo (MVS) has long been a subject for researchers in the computer vision field. Due to the unreliable photometric consistency in...
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Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
Recently, learning-based multi-view stereo methods have achieved promising results. However, most of them overlook the visibility difference among...
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Context-Guided Multi-view Stereo with Depth Back-Projection
Depth map based Multi-view stereo (MVS) is a task that focuses on taking images from multiple views of one same scene as input, estimating depth in...
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Self-supervised Edge Structure Learning for Multi-view Stereo and Parallel Optimization
Recent studies have witnessed that many self-supervised methods obtain clear progress on the multi-view stereo (MVS). However, existing methods...
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LE-MVSNet: Lightweight Efficient Multi-view Stereo Network
Multi-view Stereo(MVS) has been studied for decades as a critical algorithm for 3D reconstruction. Lately, many learning-based methods have improved...
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A unified multi-view multi-person tracking framework
Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose...
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CT-MVSNet: Efficient Multi-view Stereo with Cross-Scale Transformer
Recent deep multi-view stereo (MVS) methods have widely incorporated transformers into cascade network for high-resolution depth estimation,...
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CNLPA-MVS: Coarse-Hypotheses Guided Non-Local PatchMatch Multi-View Stereo
In multi-view stereo, unreliable matching in low-textured regions has a negative impact on the completeness of reconstructed models. Since the...