SOTAVerified

3D Generation

Papers

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Showing 126–150 of 430 papers

TitleStatusHype
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationCode1
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic ModelsCode1
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance FieldsCode1
Neural Wavelet-domain Diffusion for 3D Shape GenerationCode1
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape GenerationCode1
3D Pose Transfer with Correspondence Learning and Mesh RefinementCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
AutoPartGen: Autogressive 3D Part Generation and Discovery—0
DreamArt: Generating Interactable Articulated Objects from a Single Image—0
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion—0
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures—0
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image—0
WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration—0
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards—0
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching—0
VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal—0
DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision—0
Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor—0
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary—0
LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework—0
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—0
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction—0
Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling—0
MAGIC: Motion-Aware Generative Inference via Confidence-Guided LLM—0
Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single ImageCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MDMFD_ClaTr6.79—Unverified
2DIRECTOR BFD_ClaTr6.1—Unverified
3DIRECTOR AFD_ClaTr3.88—Unverified
4DIRECTOR CFD_ClaTr3.76—Unverified