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 76–100 of 314 papers

TitleStatusHype
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D GenerationCode3
Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint—0
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt—0
SceneCraft: Layout-Guided 3D Scene GenerationCode3
Semantic Score Distillation Sampling for Compositional Text-to-3D GenerationCode0
SeMv-3D: Towards Concurrency of Semantic and Multi-view Consistency in General Text-to-3D Generation—0
MMHead: Towards Fine-grained Multi-modal 3D Facial Animation—0
DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D DiffusionCode2
Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text PromptsCode3
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation—0
3DGCQA: A Quality Assessment Database for 3D AI-Generated ContentsCode0
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification—0
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping—0
Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation—0
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View SynthesisCode5
COMOGen: A Controllable Text-to-3D Multi-object Generation Framework—0
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation—0
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model—0
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation—0
FlowDreamer: Exploring High Fidelity Text-to-3D Generation via Rectified Flow—0
DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency ModelCode1
A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical RichnessCode1
Localized Gaussian Splatting Editing with Contextual Awareness—0
Magic3DSketch: Create Colorful 3D Models From Sketch-Based 3D Modeling Guided by Text and Language-Image Pre-Training—0
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models—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