SOTAVerified

Text to 3D

Task involves generating 3D objects based on the text prompt provided to the system.

Papers

Showing 301314 of 314 papers

TitleStatusHype
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise0
GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text0
Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era0
Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling0
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation0
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model0
GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark0
Guide3D: Create 3D Avatars from Text and Image Guidance0
GVGEN: Text-to-3D Generation with Volumetric Representation0
Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling0
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation0
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation0
HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ProlificDreamerAvg43.3Unverified
2Magic3DAvg32.7Unverified
3LatentNeRFAvg28.1Unverified
4Fantasia3DAvg24Unverified
5DreamFusionAvg21.7Unverified
6SJCAvg18.7Unverified