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The More You See in 2D, the More You Perceive in 3D
Inspired by this behavior, we introduce SAP3D, a system for 3D reconstruction and novel view synthesis from an arbitrary number of unposed images.
HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs
We propose Hierarchical Geometric Guidance (HGG) to incorporate the attachment of Structure from Motion (SfM), namely sparse depth prior, into the scene representations.
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields
Neural Radiance Fields have shown great potential to synthesize novel views with only a few discrete image observations of the world.
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