Neural Stylization
6 papers with code • 1 benchmarks • 0 datasets
Most implemented papers
Text2Mesh: Text-Driven Neural Stylization for Meshes
threedle/text2mesh
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CVPR 2022
In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP.
Unified Implicit Neural Stylization
vita-group/ins
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Representing visual signals by implicit representation (e. g., a coordinate based deep network) has prevailed among many vision tasks.
Advances in 3D Neural Stylization: A Survey
chenyingshu/advances_3d_neural_stylization
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Modern artificial intelligence offers a novel and transformative approach to creating digital art across diverse styles and modalities like images, videos and 3D data, unleashing the power of creativity and revolutionizing the way that we perceive and interact with visual content.
3DStyleGLIP: Part-Tailored Text-Guided 3D Neural Stylization
3D stylization, the application of specific styles to three-dimensional objects, offers substantial commercial potential by enabling the creation of uniquely styled 3D objects tailored to diverse scenes.
MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
We demonstrate that mesh stylization is a promising approach for creating realistic simulations for downstream tasks such as training networks and preoperative planning.
DiffArtist: Towards Structure and Appearance Controllable Image Stylization
songrise/Artist
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Specifically, we introduce DiffArtist, which, to the best of our knowledge, is the first stylization method to allow for dual controllability over structure and appearance.
