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 251–275 of 314 papers

TitleStatusHype
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting—0
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation—0
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation—0
TPA3D: Triplane Attention for Fast Text-to-3D Generation—0
ControlDreamer: Blending Geometry and Style in Text-to-3D—0
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding—0
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D—0
LucidDreaming: Controllable Object-Centric 3D Generation—0
CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting—0
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D—0
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion—0
ET3D: Efficient Text-to-3D Generation via Multi-View Distillation—0
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise—0
MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture—0
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model—0
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion—0
Control3D: Towards Controllable Text-to-3D Generation—0
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video—0
Text-to-3D with Classifier Score Distillation—0
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts—0
PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation—0
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints—0
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation—0
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model—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