TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
CVPR 2024（2024）
Key words
Multiple Objects,Single Object,Attention Module,Feature Points,Textual Descriptions,3D Mesh,Noun Phrase,Surface Points,3D Scene,Transformer,Computer Vision,Fluidic,Attention Mechanism,Multilayer Perceptron,Diffusion Model,Latent Space,Gaussian Mixture Model,Textual Features,Binary Map,Self-supervised Learning,Contrastive Loss,Target Text,Global Vector,Multimodal Learning,Normal Branching,Word Features,Scene Parsing,Word Level,Map Objects,Words In Sentences
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