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Multi-view stereo: A tutorial
This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …
Review of stereo vision algorithms and their suitability for resource-limited systems
A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …
decade. Considerable progress has been made in improving accuracy of results as well as …
Iterative geometry encoding volume for stereo matching
Abstract Recurrent All-Pairs Field Transforms (RAFT) has shown great potentials in
matching tasks. However, all-pairs correlations lack non-local geometry knowledge and …
matching tasks. However, all-pairs correlations lack non-local geometry knowledge and …
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
In recent years, neural implicit surface reconstruction methods have become popular for
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Neural implicit 3D representations have emerged as a powerful paradigm for reconstructing
surfaces from multi-view images and synthesizing novel views. Unfortunately, existing …
surfaces from multi-view images and synthesizing novel views. Unfortunately, existing …
Learning object-compositional neural radiance field for editable scene rendering
Implicit neural rendering techniques have shown promising results for novel view synthesis.
However, existing methods usually encode the entire scene as a whole, which is generally …
However, existing methods usually encode the entire scene as a whole, which is generally …
Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
In this work, we present a new multi-view depth estimation method that utilizes both
conventional SfM reconstruction and learning-based priors over the recently proposed …
conventional SfM reconstruction and learning-based priors over the recently proposed …
Neusg: Neural implicit surface reconstruction with 3d gaussian splatting guidance
Existing neural implicit surface reconstruction methods have achieved impressive
performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as …
performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as …
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Learning-based 3D reconstruction methods have shown impressive results. However, most
methods require 3D supervision which is often hard to obtain for real-world datasets …
methods require 3D supervision which is often hard to obtain for real-world datasets …
Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images
We present a neural rendering-based method called NeRO for reconstructing the geometry
and the BRDF of reflective objects from multiview images captured in an unknown …
and the BRDF of reflective objects from multiview images captured in an unknown …