Text2Scene: Text-driven Indoor Scene Stylization with Part-Aware Details
Author:
Affiliation:
1. Seoul National University,Department of Electrical and Computer Engineering
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205196.pdf?arnumber=10205196
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1. 3D-FUTURE: 3D Furniture Shape with TextURE
2. CvxNet: Learnable Convex Decomposition
3. StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
4. GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
5. Clip-actor: Text-driven recommendation and stylization for animating human meshes;youwang;ECCV,2022
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