SOTAVerified

Text to 3D

Task involves generating 3D objects based on the text prompt provided to the system.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 314 papers

TitleStatusHype
4Dynamic: Text-to-4D Generation with Hybrid Priors—0
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures—0
AI-powered Contextual 3D Environment Generation: A Systematic Review—0
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation—0
A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D—0
ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction—0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary—0
A Survey On Text-to-3D Contents Generation In The Wild—0
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication—0
AToM: Amortized Text-to-Mesh using 2D Diffusion—0
ATT3D: Amortized Text-to-3D Object Synthesis—0
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—0
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation—0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction—0
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation—0
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
C3DAG: Controlled 3D Animal Generation using 3D pose guidance—0
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning—0
CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting—0
Chasing Consistency in Text-to-3D Generation from a Single Image—0
ChatGPT is not all you need. A State of the Art Review of large Generative AI models—0
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework—0
Comp4D: LLM-Guided Compositional 4D Scene Generation—0
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians—0
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout—0
Compositional 3D Scene Generation using Locally Conditioned Diffusion—0
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video—0
Consistent Flow Distillation for Text-to-3D Generation—0
Control3D: Towards Controllable Text-to-3D Generation—0
ControlDreamer: Blending Geometry and Style in Text-to-3D—0
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints—0
Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior—0
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation—0
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation—0
DepthLab: From Partial to Complete—0
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion—0
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation—0
Disentangled 3D Scene Generation with Layout Learning—0
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model—0
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching—0
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding—0
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model—0
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models—0
DreamAnywhere: Object-Centric Panoramic 3D Scene Generation—0
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields—0
DreamBooth3D: Subject-Driven Text-to-3D Generation—0
FlowDreamer: Exploring High Fidelity Text-to-3D Generation via Rectified Flow—0
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ProlificDreamerAvg43.3—Unverified
2Magic3DAvg32.7—Unverified
3LatentNeRFAvg28.1—Unverified
4Fantasia3DAvg24—Unverified
5DreamFusionAvg21.7—Unverified
6SJCAvg18.7—Unverified