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 151–200 of 314 papers

TitleStatusHype
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model—0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction—0
MVLight: Relightable Text-to-3D Generation via Light-conditioned Multi-View Diffusion—0
Text2CAD: Text to 3D CAD Generation via Technical Drawings—0
Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation—0
DreamPolish: Domain Score Distillation With Progressive Geometry Generation—0
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians—0
Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint—0
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt—0
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
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
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
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
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors—0
HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation—0
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation—0
4Dynamic: Text-to-4D Generation with Hybrid Priors—0
VividDreamer: Invariant Score Distillation For Hyper-Realistic Text-to-3D Generation—0
Meta 3D Gen—0
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials—0
Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling—0
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals—0
VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation—0
OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control—0
C3DAG: Controlled 3D Animal Generation using 3D pose guidance—0
SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs—0
Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation—0
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots—0
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting—0
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting—0
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes—0
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication—0
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score MatchingCode0
Flow Score Distillation for Diverse Text-to-3D Generation—0
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion—0
A Survey On Text-to-3D Contents Generation In The Wild—0
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation—0
Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model—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