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 201–225 of 314 papers

TitleStatusHype
Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization—0
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation—0
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion—0
Mosaic-SDF for 3D Generative Models—0
SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance—0
SceneWiz3D: Towards Text-guided 3D Scene Composition—0
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D PriorCode1
DreamControl: Control-Based Text-to-3D Generation with 3D Self-PriorCode1
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation—0
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting—0
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score DistillationCode1
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel HierarchiesCode2
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation—0
TPA3D: Triplane Attention for Fast Text-to-3D Generation—0
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D—0
ControlDreamer: Blending Geometry and Style in Text-to-3D—0
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding—0
Adversarial Score Distillation: When score distillation meets GANCode1
LucidDreaming: Controllable Object-Centric 3D Generation—0
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D GenerationCode1
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D GenerationCode2
CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting—0
DreamPropeller: Supercharge Text-to-3D Generation with Parallel SamplingCode1
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D—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