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
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation—0
AI-powered Contextual 3D Environment Generation: A Systematic Review—0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary—0
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—0
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction—0
ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction—0
Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling—0
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting—0
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
Rethinking Score Distilling Sampling for 3D Editing and GenerationCode0
ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting—0
Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects—0
ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D GenerationCode0
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting—0
3DGen-Bench: Comprehensive Benchmark Suite for 3D Generative Models—0
Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors—0
VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling—0
Shap-MeD—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation—0
Text-to-3D Generation using Jensen-Shannon Score Distillation—0
Evolution 6.0: Evolving Robotic Capabilities Through Generative Design—0
Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and ModelCode0
Mean-Shift Distillation for Diffusion Mode Seeking—0
GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text—0
Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku—0
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization—0
LAYOUTDREAMER: Physics-guided Layout for Text-to-3D Compositional Scene Generation—0
PhiP-G: Physics-Guided Text-to-3D Compositional Scene Generation—0
Consistent Flow Distillation for Text-to-3D Generation—0
Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors—0
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models—0
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation—0
Toward Scene Graph and Layout Guided Complex 3D Scene Generation—0
DepthLab: From Partial to Complete—0
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction—0
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space—0
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields—0
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation—0
GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark—0
Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation—0
Turbo3D: Ultra-fast Text-to-3D Generation—0
Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance—0
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting—0
Fleximo: Towards Flexible Text-to-Human Motion Video Generation—0
SAMa: Material-aware 3D Selection and Segmentation—0
ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts—0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
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Benchmark Results

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