Papers text-guided-generation
“text-guided-generation” 태그가 달린 논문 21편 · 필터 해제
Text to Image Generation and Editing: A Survey
Text-to-image generation (T2I) refers to the text-guided generation of high-quality images. In the past few years, T2I has attracted widespread attention and numerous works have emerged. In this survey, we comprehensivel…
Image GenerationMambaSurveytext-guided-generation+2Keyframe-Guided Creative Video Inpainting
Video inpainting, which aims to fill missing regions with visually coherent content, has emerged as a crucial technique for creative applications such as editing. While existing approaches achieve visual consistency …
Diversitytext-guided-generationVideo InpaintingVIRES: Video Instance Repainting via Sketch and Text Guided Generation
We introduce VIRES, a video instance repainting method with sketch and text guidance, enabling video instance repainting, replacement, generation, and removal. Existing approaches struggle with temporal consistency and a…
text-guided-generationLocalized Gaussian Splatting Editing with Contextual Awareness
Recent text-guided generation of individual 3D object has achieved great success using diffusion priors. However, these methods are not suitable for object insertion and replacement tasks as they do not consider the back…
3DGS3D scene EditingImage to 3Dtext-guided-generation+1DreamVoice: Text-Guided Voice Conversion
Generative voice technologies are rapidly evolving, offering opportunities for more personalized and inclusive experiences. Traditional one-shot voice conversion (VC) requires a target recording during inference, limitin…
text-guided-generationVoice ConversionCFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Classifier-free guidance (CFG) is a fundamental tool in modern diffusion models for text-guided generation. Although effective, CFG has notable drawbacks. For instance, DDIM with CFG lacks invertibility, complicating ima…
Image Generationtext-guided-generationText to Image GenerationText-to-Image GenerationDreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
Procedural Content Generation (PCG) algorithms enable the automatic generation of complex and diverse artifacts. However, they don't provide high-level control over the generated content and typically require domain expe…
Game DesignMinecraftNeRFtext-guided-generation+1WordRobe: Text-Guided Generation of Textured 3D Garments
In this paper, we tackle a new and challenging problem of text-driven generation of 3D garments with high-quality textures. We propose "WordRobe", a novel framework for the generation of unposed & textured 3D garment mes…
Disentanglementtext-guided-generationTexture Synthesis3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
Generating molecular structures with desired properties is a critical task with broad applications in drug discovery and materials design. We propose 3M-Diffusion, a novel multi-modal molecular graph generation method, t…
DecoderDrug DiscoveryGraph GenerationMolecular Graph Generation+1Instilling Multi-round Thinking to Text-guided Image Generation
This paper delves into the text-guided image editing task, focusing on modifying a reference image according to user-specified textual feedback to embody specific attributes. Despite recent advancements, a persistent cha…
Image Generationtext-guided-generationtext-guided-image-editingControlDreamer: Blending Geometry and Style in Text-to-3D
Recent advancements in text-to-3D generation have significantly contributed to the automation and democratization of 3D content creation. Building upon these developments, we aim to address the limitations of current met…
3D Generationtext-guided-generationText to 3DMedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images
This paper introduces an innovative methodology for producing high-quality 3D lung CT images guided by textual information. While diffusion-based generative models are increasingly used in medical imaging, current state-…
AnatomyImage Generationtext-guided-generationAdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
Diffusion models achieve great success in generating diverse and high-fidelity images, yet their widespread application, especially in real-time scenarios, is hampered by their inherently slow generation speed. The slow …
text-guided-generationTextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training
Text-guided image generation aimed to generate desired images conditioned on given texts, while text-guided image manipulation refers to semantically edit parts of a given image based on specified texts. For these two si…
Image GenerationImage Manipulationtext-guided-generationMarket-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. Despite the development of financial market simulation methodologies, exis…
Stock Market Predictiontext-guided-generationTime SeriesTime Series AnalysisText-Guided Generation and Editing of Compositional 3D Avatars
Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing methods either lack realism, produce un…
NeRFtext-guided-generationVirtual Try-onText-guided High-definition Consistency Texture Model
With the advent of depth-to-image diffusion models, text-guided generation, editing, and transfer of realistic textures are no longer difficult. However, due to the limitations of pre-trained diffusion models, they can o…
modelparameter-efficient fine-tuningtext-guided-generationVocal Bursts Intensity PredictionLet 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. Extensive studies have been devoted to …
text-guided-generationText-to-image Diffusion Models in Generative AI: A Survey
This survey reviews the progress of diffusion models in generating images from text, ~\textit{i.e.} text-to-image diffusion models. As a self-contained work, this survey starts with a brief introduction of how diffusion …
Image GenerationSurveytext-guided-generationtext-guided-image-editing+2TEXTure: 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. Leveraging a pretrained depth-to-image diffusion model, TEXTure applies an iterative scheme t…
Image Generationtext-guided-generation