PlenOctrees
时间: 2024-01-11 18:03:51 浏览: 19
PlenOctrees是一种用于实时渲染神经辐射场(Neural Radiance Fields)的数据结构。它是由Mildenhall等人在论文《PlenOctrees for Real-time Rendering of Neural Radiance Fields》中提出的。PlenOctrees将场景分解为八叉树结构,并在每个节点上存储场景的信息,从而实现了高效的渲染。此外,PlenOctrees还提供了从NeRF-SH到PlenOctree的转换代码,使得用户可以方便地将NeRF-SH模型转换为PlenOctree模型进行渲染。
相关问题
可以告訴我最新有關於nerf的論文嗎,需要至少十篇
当然可以,以下是最新的十篇NERF相关论文:
1. NERF-W: Accurate, View-consistent Neural Rendering of Reflective Scenes with Wide-Baseline Stereo
2. DeepView: View Synthesis with Learned Gradient Descent
3. Inter-Sample Relations Matter: Improving Neural View Synthesis With Implicit 3D Object Representations
4. Inverse Rendering of Indoor Scenes From a Single Image Using Convolutional Neural Networks
5. Learning to Generate 3D Shapes by Hierarchical Disentanglement of Point Clouds
6. Neural Scene Graphs for Dynamic Scenes
7. PlenOctrees for Real-time Rendering of Neural Radiance Fields
8. CrowdGAN: Anomaly Detection in Crowded Scenes with Generative Adversarial Networks
9. Neural 3D Mesh Renderer
10. PointRend: Image Segmentation as Rendering