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
Understanding Pure CLIP Guidance for Voxel Grid NeRF Models—0
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation—0
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction—0
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models—0
VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling—0
Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance—0
Semantic Score Distillation Sampling for Compositional Text-to-3D GenerationCode0
Rethinking Score Distilling Sampling for 3D Editing and GenerationCode0
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion PriorCode0
3DGCQA: A Quality Assessment Database for 3D AI-Generated ContentsCode0
Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and ModelCode0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D GenerationCode0
ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score MatchingCode0
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Benchmark Results

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