DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
CVPR 2024（2024）
Key words
3D Gaussian,Radiance Field,Local Changes,Training Time,Training Costs,Changes In Depth,Color Appearance,Local Depth,Gaussian Field,3D Field,Reduce Training Time,Scene Geometry,Accurate Geometry,View Synthesis,Sparse Input,Loss Function,Quantitative Results,Local Scale,Qualitative Results,Point Cloud,Neural Field,3D Tasks,Depth Map,Gaussian Set,Global Normalization,Depth Perception
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined