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
Rethinking Score Distilling Sampling for 3D Editing and GenerationCode0
Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and ModelCode0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation—0
Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects—0
GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text—0
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion—0
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
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space—0
DepthLab: From Partial to Complete—0
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation—0
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting—0
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation—0
Flow Score Distillation for Diverse Text-to-3D Generation—0
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise—0
Fleximo: Towards Flexible Text-to-Human Motion Video 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
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints—0
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation—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
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—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
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model—0
Control3D: Towards Controllable Text-to-3D Generation—0
ATT3D: Amortized Text-to-3D Object Synthesis—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
AToM: Amortized Text-to-Mesh using 2D Diffusion—0
4Dynamic: Text-to-4D Generation with Hybrid Priors—0
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting—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
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Benchmark Results

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