DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene
2024年7月23日 · This paper introduces a novel neural rendering method termed Decoupled Hybrid Gaussian Splatting (DHGS), targeting at promoting the rendering quality of novel view …
Dynamic Heterogeneous Graph Attention Neural Architecture Search
2023年6月26日 · In this paper, we propose to automate the design of DHGNN, which faces two major challenges: 1) how to design the search space to jointly consider the spatial-temporal …
论文分析——动态异构图注意神经结构搜索 - CSDN博客
在本文中，我们提出自动设计 DHGNN 的方法，面临两个主要挑战：1） 如何设计搜索空间以共同考虑图中的时空依赖关系和异构交互；2） 如何在潜在的庞大且复杂的搜索空间中设计高效的 …
GitHub - BUPT-GAMMA/OpenHGNN: This is an open-source …
This is an open-source toolkit for Heterogeneous Graph Neural Network based on DGL [Deep Graph Library] and PyTorch. We integrate SOTA models of heterogeneous graph. 4 New …
欢迎使用OpenHGNN — OpenHGNN 文档 - Read the Docs
OpenHGNN是一个基于 DGL [Deep Graph Library] 和 PyTorch 的开源异质图神经网络工具包, 集成了异质图神经网络的SOTA模型. 易用: OpenHGNN提供了了易用的接口在给定的模型和数据 …
In this paper, we propose a static neural rendering method named Decoupled Hybrid Gaussian Splatting for Driving Scene (DHGS) to enhance the rendering quality of novel view synthesis, …
Lingli Chen - Semantic Scholar
2024年7月23日 · This paper introduces a novel neural rendering method termed Decoupled Hybrid Gaussian Splatting (DHGS), targeting at promoting the rendering quality of novel view …
异质图神经网络开源工具包 - PCL
OpenHGNN是一个基于 DGL [Deep Graph Library] 和 PyTorch 的开源异质图神经网络工具包，集成了异质图神经网络的前沿模型。 易用：OpenHGNN提供了了易用的接口在给定的模型和数 …
DHGS: Decoupled Hybrid Gaussian Splatting for Driving Scene
2024年7月24日 · TL;DR: The paper introduces Decoupled Hybrid Gaussian Splatting (DHGS) method to enhance rendering quality for novel view synthesis in driving scenes, achieving high …
onstraints for the involved ele-ments. This paper introduces a novel neural render-ing method termed Decoupled Hybrid Gaussian Splat-ting (DHGS), targeting at promoting the rendering …