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Taming Uncertainty in Sparse-view Generalizable NeRF via Indirect Diffusion Guidance
Therefore, we innovatively propose an Indirect Diffusion-guided NeRF framework, termed ID-NeRF, to address this uncertainty from a generative perspective by leveraging a distilled diffusion prior as guidance.
Graph Neural Networks with Feature and Structure Aware Random Walk
Graph Neural Networks (GNNs) have received increasing attention for representation learning in various machine learning tasks.
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
Not restricted by connectivity in the original graph, the generated views allow the model to enhance its expressive power with new and complementary perspectives from which to look at the relationship between nodes.
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