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 101–125 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
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
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting—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
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution—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