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 101–150 of 314 papers

TitleStatusHype
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion—0
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling—0
DepthLab: From Partial to Complete—0
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation—0
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation—0
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation—0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction—0
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures—0
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion—0
Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior—0
Fleximo: Towards Flexible Text-to-Human Motion Video Generation—0
Flow Score Distillation for Diverse Text-to-3D Generation—0
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting—0
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space—0
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints—0
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation—0
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise—0
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—0
Evolution 6.0: Evolving Robotic Capabilities Through Generative Design—0
ET3D: Efficient Text-to-3D Generation via Multi-View Distillation—0
ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting—0
CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences—0
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting—0
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution—0
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Priors—0
ControlDreamer: Blending Geometry and Style in Text-to-3D—0
Control3D: Towards Controllable Text-to-3D Generation—0
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model—0
ATT3D: Amortized Text-to-3D Object Synthesis—0
AToM: Amortized Text-to-Mesh using 2D Diffusion—0
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion—0
DreamWaltz: Make a Scene with Complex 3D Animatable Avatars—0
Consistent Flow Distillation for Text-to-3D Generation—0
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models—0
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video—0
4Dynamic: Text-to-4D Generation with Hybrid Priors—0
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction—0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling—0
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting—0
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication—0
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting—0
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling—0
DreamReward: Text-to-3D Generation with Human Preference—0
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion—0
Compositional 3D Scene Generation using Locally Conditioned Diffusion—0
A Survey On Text-to-3D Contents Generation In The Wild—0
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models—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