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Begriffe
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Text-to-3D Generation

Generation of 3D objects from text descriptions using diffusion models combining text encoding and 3D geometric representations.

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Image-to-3D Conversion

Process of volumetric or surface 3D reconstruction from 2D images using diffusion models to infer missing geometry.

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Score-based 3D Modeling

Probabilistic framework using gradient scores to guide 3D shape generation through stochastic differential equations.

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Tri-plane Representation

Compact encoding of 3D geometry in three orthogonal planes used by diffusion models for efficient generation of neural implicit fields.

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3D-aware Diffusion

Diffusion models designed to understand and respect 3D consistency constraints when generating from multiple or single 2D views.

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Geometry-aware Diffusion

Diffusion approach integrating explicit geometric constraints such as convexity, manifoldness, or symmetry for controlled 3D generation.

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Surface Reconstruction Diffusion

Technique using diffusion to reconstruct smooth surfaces from partial or noisy data while preserving topological features.

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Texture Diffusion 3D

Generation of consistent textures on 3D surfaces using diffusion models that respect UV continuity and view-dependent consistency.

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Multi-view Diffusion

Synchronized diffusion process across multiple views of a 3D object to ensure geometric and textural consistency during reconstruction.

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Sparse-view Reconstruction

3D reconstruction from a limited number of images using diffusion models to fill in missing information by learning 3D regularities.

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