NeRF synthesis with shading guidance
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Abstract (arXiv)
The emerging Neural Radiance Field (NeRF) shows great potential in representing 3D scenes, which can render photo-realistic images from novel view with only sparse views given. However, utilizing NeRF to reconstruct real-world scenes requires images from different viewpoints, which limits its practical application. This problem can be even more pronounced for large scenes. In this paper, we introduce a new task called NeRF synthesis that utilizes the structural content of a NeRF patch exemplar to construct a new radiance field of large size. We propose a two-phase method for synthesizing new scenes that are continuous in geometry and appearance. We also propose a boundary constraint method to synthesize scenes of arbitrary size without artifacts. Specifically, we control the lighting effects of synthesized scenes using shading guidance instead of decoupling the scene. We have demonstrated that our method can generate high-quality results with consistent geometry and appearance, even for scenes with complex lighting. We can also synthesize new scenes on curved surface with arbitrary lighting effects, which enhances the practicality of our proposed NeRF synthesis approach.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 20 of its 46 references that are in the map. First posted on arXiv 20 Jun 2023.
Builds on
20 of 46 references.
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8 more
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Citing papers per year: 2024: 1.
1 paper.
- 2024NeRF-Texture: Synthesizing Neural Radiance Field Textures13 Dec 2024