Neural Shell Texture Splatting: More Details and Fewer Primitives
Xin Zhang, Anpei Chen, Jincheng Xiong, Pinxuan Dai, Yujun Shen, Weiwei Xu
高斯溅射技术在新颖的视图合成中显示出有希望的结果,实现了高保真度和效率。 然而,它们的高重建质量是以需要大量的原语为代价的。 我们确定这个问题源于几何学的纠缠和外观在高斯溅射。 为了解决这个问题,我们引入了一个神经壳纹理,一个全局表示,它编码表面周围的纹理信息。 我们使用高斯原语作为几何表示和纹理字段采样器,有效地将纹理特征溅入图像空间。 我们的评估表明,这种解纠缠可以实现高参数效率,精细纹理细节重建和易于纹理网格提取,同时使用更少的原语。
Gaussian splatting techniques have shown promising results in novel view synthesis, achieving high fidelity and efficiency. However, their high reconstruction quality comes at the cost of requiring a large number of primitives. We identify this issue as stemming from the entanglement of geometry and appearance in Gaussian Splatting. To address this, we introduce a neural shell texture, a global representation that encodes texture information around the surface. We use Gaussian primitives as both...