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Informative Rays Selection for Few-Shot Neural Radiance Fields
Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings.
Learning Neural Radiance Fields from Multi-View Geometry
We present a framework, called MVG-NeRF, that combines classical Multi-View Geometry algorithms and Neural Radiance Fields (NeRF) for image-based 3D reconstruction.
Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction
In this paper, a complete pipeline for image-based 3D reconstruction of urban scenarios is proposed, based on PatchMatch Multi-View Stereo (MVS).
Efficient View Clustering and Selection for City-Scale 3D Reconstruction
Image datasets have been steadily growing in size, harming the feasibility and efficiency of large-scale 3D reconstruction methods.
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