Papers Text to 3D
“Text to 3D” 태그가 달린 논문 320편 · 필터 해제
Map2World: Segment Map Conditioned Text to 3D World Generation
3D world generation is essential for applications such as immersive content creation or autonomous driving simulation. Recent advances in 3D world generation have shown promising results; however, these methods are const…
Autonomous DrivingScene GenerationText to 3DHandDreamer: Zero-Shot Text to 3D Hand Model Generation using Corrective Hand Shape Guidance
The emergence of virtual reality has necessitated the generation of detailed and customizable 3D hand models for interaction in the virtual world. However, the current methods for 3D hand model generation are both expens…
Text to 3DA Three-Level Alignment Framework for Large-Scale 3D Retrieval and Controlled 4D Generation
We introduce Uni4D, a unified framework for large scale open vocabulary 3D retrieval and controlled 4D generation based on structured three level alignment across text, 3D models, and image modalities. Built upon the Ali…
Text to 3DSegMo: Segment-aligned Text to 3D Human Motion Generation
Generating 3D human motions from textual descriptions is an important research problem with broad applications in video games, virtual reality, and augmented reality. Recent methods align the textual description with hum…
Contrastive LearningText RetrievalText to 3DOptimizing Input of Denoising Score Matching is Biased Towards Higher Score Norm
Many recent works utilize denoising score matching to optimize the conditional input of diffusion models. In this workshop paper, we demonstrate that such optimization breaks the equivalence between denoising score match…
Image CompressionText to 3D4-Doodle: Text to 3D Sketches that Move!
We present a novel task: text-to-3D sketch animation, which aims to bring freeform sketches to life in dynamic 3D space. Unlike prior works focused on photorealistic content generation, we target sparse, stylized, and vi…
Point CloudsText to 3DAcquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures
The ability to transfer knowledge from prior experiences to novel tasks stands as a pivotal capability of intelligent agents, including both humans and computational models. This principle forms the basis of transfer lea…
3D GenerationComputational chemistryMeta-LearningMolecular Property Prediction+4DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
Recent advances in text-to-3D scene generation have demonstrated significant potential to transform content creation across multiple industries. Although the research community has made impressive progress in addressing …
Novel View SynthesisObjectScene GenerationScene Understanding+1Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching
Distilling pre-trained 2D diffusion models into 3D assets has driven remarkable advances in text-to-3D synthesis. However, existing methods typically rely on Score Distillation Sampling (SDS) loss, which involves asymmet…
3D GenerationDiversityText to 3DEmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
Constructing a physically realistic and accurately scaled simulated 3D world is crucial for the training and evaluation of embodied intelligence tasks. The diversity, realism, low cost accessibility and affordability of …
Image to 3DLayout GenerationScene GenerationText to 3D+1DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision
While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically re…
3D GenerationLarge Language ModelText to 3DR3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
Validating autonomous driving (AD) systems requires diverse and safety-critical testing, making photorealistic virtual environments essential. Traditional simulation platforms, while controllable, are resource-intensive …
3DGSAutonomous DrivingNeural RenderingObject+1AI-powered Contextual 3D Environment Generation: A Systematic Review
The generation of high-quality 3D environments is crucial for industries such as gaming, virtual reality, and cinema, yet remains resource-intensive due to the reliance on manual processes. This study performs a systemat…
Scene GenerationText to 3DArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
Designing 3D scenes is traditionally a challenging task that demands both artistic expertise and proficiency with complex software. Recent advances in text-to-3D generation have greatly simplified this process by letting…
3D GenerationImage GenerationIn-Context LearningScene Generation+3Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
Automatic scene generation is an essential area of research with applications in robotics, recreation, visual representation, training and simulation, education, and more. This survey provides a comprehensive review of t…
3D GenerationImage to 3DScene GenerationSurvey+1Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
In this paper, we unify more than 10 existing one-step diffusion distillation approaches, such as Diff-Instruct, DMD, SIM, SiD, $f$-distill, etc, inside a theory-driven framework which we name the \textbf{\emph{Uni-Instr…
3D GenerationImage GenerationText to 3DHarnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling
Recent studies show that simple training-free techniques can dramatically improve the quality of text-to-2D generation outputs, e.g. Classifier-Free Guidance (CFG) or FreeU. However, these training-free techniques have b…
3D GenerationText to 3DART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction
We introduce a 3D detailizer, a neural model which can instantaneously (in <1s) transform a coarse 3D shape proxy into a high-quality asset with detailed geometry and texture as guided by an input text prompt. Our model …
Text to 3DPlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting
Recent years have seen substantial improvements in the ability to generate synthetic 3D objects using AI. However, generating complex 3D objects, such as plants, remains a considerable challenge. Current generative 3D mo…
Text to 3DGenerating Physically Stable and Buildable LEGO Designs from Text
We introduce LegoGPT, the first approach for generating physically stable LEGO brick models from text prompts. To achieve this, we construct a large-scale, physically stable dataset of LEGO designs, along with their asso…
3D GenerationLarge Language ModelText to 3D