GoLF-NRT fuses global context from a 3D sparse-attention transformer with epipolar local geometry and kernel-regression adaptive sampling to improve few-shot novel view synthesis.
Where and how: Mitigating con- fusion in neural radiance fields from sparse inputs
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GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
GoLF-NRT fuses global context from a 3D sparse-attention transformer with epipolar local geometry and kernel-regression adaptive sampling to improve few-shot novel view synthesis.