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 301–314 of 314 papers

TitleStatusHype
Monocular Depth Estimation using Diffusion Models—0
Text-driven Visual Synthesis with Latent Diffusion Prior—0
ChatGPT is not all you need. A State of the Art Review of large Generative AI models—0
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models—0
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models—0
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models—0
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language—0
Understanding Pure CLIP Guidance for Voxel Grid NeRF Models—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
SceneSeer: 3D Scene Design with Natural Language—0
Text to 3D Scene Generation with Rich Lexical Grounding—0
Learning Spatial Knowledge for Text to 3D Scene Generation—0
Semantic Parsing for Text to 3D Scene Generation—0
Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation—0
Show:102550
← PrevPage 7 of 7Next →

Benchmark Results

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