text-guided-generation
6 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
SinDDM: A Single Image Denoising Diffusion Model
Here, we introduce a framework for training a DDM on a single image.
TEXTure: Text-Guided Texturing of 3D Shapes
In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes.
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making.
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images
This study focuses on two main objectives: (1) the development of a method for creating images based on textual prompts and anatomical components, and (2) the capability to generate new images conditioning on anatomical elements.
3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
We propose 3M-Diffusion, a novel multi-modal molecular graph generation method, to generate diverse, ideally novel molecular structures with desired properties.