The recent developments in the field of 3D scene reconstruction and stylization have been significantly influenced by advancements in Gaussian Splatting techniques. These methods are increasingly being applied to solve complex problems such as maintaining local consistency in stylized 3D scenes, enhancing the realism of autonomous vehicle simulators, and improving the reconstruction of reflective objects and flame light fields. A notable trend is the integration of innovative control mechanisms and rendering techniques to achieve high-quality, real-time results. For instance, the separation of content and style control, attention-based alignment, and physically based deferred rendering are pivotal in pushing the boundaries of what's possible in 3D scene reconstruction and stylization. These advancements not only improve the visual quality and computational efficiency but also expand the applicability of these techniques to a broader range of scenarios, including autonomous vehicle training and flame combustion diagnosis.

Noteworthy Papers

• ArtNVG: Introduces a novel 3D stylization framework that significantly improves local consistency and aesthetic coherence in stylized 3D scenes.
• GSAVS: Presents an autonomous vehicle simulator that leverages 3D Gaussian splatting for photorealism while maintaining ease of use and customization.
• Reflective Gaussian Splatting: Offers a unified solution for reflective and non-reflective scene reconstruction, enhancing visual quality and compute efficiency.
• FlameGS: Proposes a novel method for flame light field reconstruction, achieving high accuracy and significant computational savings.