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HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering
March 19, 2024, 4:48 a.m. | Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in the Neural Radiance Field (NeRF) have bolstered its capabilities for novel view synthesis, yet its reliance on dense multi-view training images poses a practical challenge. Addressing this, we propose HourglassNeRF, an effective regularization-based approach with a novel hourglass casting strategy. Our proposed hourglass is conceptualized as a bundle of additional rays within the area between the original input ray and its corresponding reflection ray, by featurizing the conical frustum via Integrated Positional …
abstract arxiv capabilities challenge cs.cv few-shot images nerf neural radiance field neural rendering novel practical regularization reliance rendering synthesis training type view
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