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 251–275 of 314 papers

TitleStatusHype
DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision—0
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors—0
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation—0
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization—0
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow—0
DreamHuman: Animatable 3D Avatars from Text—0
Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation—0
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping—0
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation—0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation—0
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion—0
DreamReward: Text-to-3D Generation with Human Preference—0
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling—0
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting—0
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling—0
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation—0
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models—0
DreamWaltz: Make a Scene with Complex 3D Animatable Avatars—0
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion—0
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model—0
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Priors—0
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution—0
CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences—0
ESCT3D: Efficient and Selectively Controllable Text-Driven 3D Content Generation with Gaussian Splatting—0
ET3D: Efficient Text-to-3D Generation via Multi-View Distillation—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