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Deep learning for monocular depth estimation: A review
Depth estimation is a classic task in computer vision, which is of great significance for many
applications such as augmented reality, target tracking and autonomous driving. Traditional …
applications such as augmented reality, target tracking and autonomous driving. Traditional …
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 …
Neuralrecon: Real-time coherent 3d reconstruction from monocular video
J Sun, Y ** tasks: A systematic literature review
Visual localization and map** algorithms attempt to estimate, from images, geometrical
models that explain ego motion and the positions of objects in a real scene. The success of …
models that explain ego motion and the positions of objects in a real scene. The success of …
Mobile3DRecon: Real-time monocular 3D reconstruction on a mobile phone
X Yang, L Zhou, H Jiang, Z Tang… - … on Visualization and …, 2020 - ieeexplore.ieee.org
We present a real-time monocular 3D reconstruction system on a mobile phone, called
Mobile3DRecon. Using an embedded monocular camera, our system provides an online …
Mobile3DRecon. Using an embedded monocular camera, our system provides an online …
Omniphotos: casual 360 vr photography
Virtual reality headsets are becoming increasingly popular, yet it remains difficult for casual
users to capture immersive 360° VR panoramas. State-of-the-art approaches require …
users to capture immersive 360° VR panoramas. State-of-the-art approaches require …