SOTAVerified

Image to 3D

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Showing 76–100 of 162 papers

TitleStatusHype
Make-A-Character 2: Animatable 3D Character Generation From a Single Image—0
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation—0
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models—0
PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models—0
FaceLift: Single Image to 3D Head with View Generation and GS-LRM—0
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction—0
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation—0
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations—0
GraphicsDreamer: Image to 3D Generation with Physical Consistency—0
unPIC: A Geometric Multiview Prior for Image to 3D Synthesis—0
FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction—0
LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors—0
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models—0
Learning Visual Generative Priors without Text—0
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy—0
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting—0
World-consistent Video Diffusion with Explicit 3D Modeling—0
RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning—0
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data—0
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content CreationCode0
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model—0
Fixing the Perspective: A Critical Examination of Zero-1-to-3—0
Any-to-3D Generation via Hybrid Diffusion Supervision—0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction—0
MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion—0
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