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4d gaussian splatting for real-time dynamic scene rendering
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction
Recently, neural implicit surfaces learning by volume rendering has become popular for
multi-view reconstruction. However, one key challenge remains: existing approaches lack …
multi-view reconstruction. However, one key challenge remains: existing approaches lack …
A review of 3D reconstruction from high-resolution urban satellite images
L Zhao, H Wang, Y Zhu, M Song - International Journal of Remote …, 2023 - Taylor & Francis
Automated 3D reconstruction based on satellite images has become a research hotspot at
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …
Adaptive patch deformation for textureless-resilient multi-view stereo
In recent years, deep learning-based approaches have shown great strength in multi-view
stereo because of their outstanding ability to extract robust visual features. However, most …
stereo because of their outstanding ability to extract robust visual features. However, most …
Neurodin: A two-stage framework for high-fidelity neural surface reconstruction
Abstract Signed Distance Function (SDF)-based volume rendering has demonstrated
significant capabilities in surface reconstruction. Although promising, SDF-based methods …
significant capabilities in surface reconstruction. Although promising, SDF-based methods …
Learning-based multi-view stereo: a survey
3D reconstruction aims to recover the dense 3D structure of a scene. It plays an essential
role in various applications such as Augmented/Virtual Reality (AR/VR), autonomous driving …
role in various applications such as Augmented/Virtual Reality (AR/VR), autonomous driving …
CL-MVSNet: unsupervised multi-view stereo with dual-level contrastive learning
Abstract Unsupervised Multi-View Stereo (MVS) methods have achieved promising progress
recently. However, previous methods primarily depend on the photometric consistency …
recently. However, previous methods primarily depend on the photometric consistency …
[HTML][HTML] Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset
Depth estimation and 3D model reconstruction from aerial imagery is an important task in
photogrammetry, remote sensing, and computer vision. To compare the performance of …
photogrammetry, remote sensing, and computer vision. To compare the performance of …
SD-MVS: Segmentation-driven deformation multi-view stereo with spherical refinement and EM optimization
In this paper, we introduce a segmentation-driven deformation multi-View stereo (SD-MVS),
a method that can effectively tackle challenges in 3D reconstruction of textureless areas. For …
a method that can effectively tackle challenges in 3D reconstruction of textureless areas. For …
Hierarchical prior mining for non-local multi-view stereo
As a fundamental problem in computer vision, multi-view stereo (MVS) aims at recovering
the 3D geometry of a target from a set of 2D images. Recent advances in MVS have shown …
the 3D geometry of a target from a set of 2D images. Recent advances in MVS have shown …