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SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance
April 2, 2024, 7:48 p.m. | Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Field (NeRF) technology has made significant strides in creating novel viewpoints. However, its effectiveness is hampered when working with sparsely available views, often leading to performance dips due to overfitting. FreeNeRF attempts to overcome this limitation by integrating implicit geometry regularization, which incrementally improves both geometry and textures. Nonetheless, an initial low positional encoding bandwidth results in the exclusion of high-frequency elements. The quest for a holistic approach that simultaneously addresses overfitting and …
abstract arxiv cs.cv few-shot geometry guidance however nerf neural radiance field neural rendering novel overfitting performance regularization rendering technology type via
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