SOTAVerified

3D Generation

Papers

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Showing 301–350 of 430 papers

TitleStatusHype
C3DAG: Controlled 3D Animal Generation using 3D pose guidance—0
GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement—0
Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation—0
Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image PriorsCode0
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes—0
GECO: Generative Image-to-3D within a SECOnd—0
PLA4D: Pixel-Level Alignments for Text-to-4D Gaussian Splatting—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
Score Distillation via Reparametrized DDIM—0
Brain3D: Generating 3D Objects from fMRICode0
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes—0
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
3D Shape Augmentation with Content-Aware Shape Resizing—0
Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning—0
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting—0
Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation—0
Interactive3D: Create What You Want by Interactive 3D Generation—0
MeshLRM: Large Reconstruction Model for High-Quality Meshes—0
StylizedGS: Controllable Stylization for 3D Gaussian Splatting—0
Towards Robust 3D Pose Transfer with Adversarial Learning—0
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation—0
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation—0
Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View PlanningCode0
VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation—0
DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion—0
DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow—0
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis—0
STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians—0
DreamReward: Text-to-3D Generation with Human Preference—0
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image—0
Precise-Physics Driven Text-to-3D Generation—0
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance—0
GVGEN: Text-to-3D Generation with Volumetric Representation—0
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation—0
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior—0
MVD^2: Efficient Multiview 3D Reconstruction for Multiview Diffusion—0
Place Anything into Any Video—0
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability—0
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation—0
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting—0
SPAD : Spatially Aware Multiview Diffusers—0
Geometry aware 3D generation from in-the-wild images in ImageNet—0
Advances in 3D Generation: A Survey—0
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion—0
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation—0
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation—0
GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation—0
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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