GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks.
Yuefan ShenHongbo FuZhongshuo DuXiang ChenEvgeny BurnaevDenis ZorinKun ZhouYouyi ZhengPublished in: CoRR (2021)
Keyphrases
- denoising
- image denoising
- random walk
- average degree
- total variation
- fully connected
- edge weights
- directed graph
- social networks
- graph theory
- graph structures
- connected components
- graph structure
- graph representation
- interconnection networks
- complex networks
- overlapping communities
- graph model
- graph layout
- spanning tree
- structural patterns
- small world
- social graphs
- densely connected
- noisy images
- image processing
- natural images
- structured data
- bipartite graph
- sparse coding
- graph partitioning
- multiscale
- gaussian noise
- graph mining
- betweenness centrality
- social network analysis
- degree distribution
- network structure
- graph theoretic
- citation networks
- d mesh
- protein interaction networks
- graph matching
- denoising algorithm
- wavelet packet
- directed acyclic graph