Papers with Code 아카이브
Image to 3D
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FaceLift: Single Image to 3D Head with View Generation and GS-LRM
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction
LiftRefine: Progressively Refined View Synthesis from 3D Lifting with Volume-Triplane Representations
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
GraphicsDreamer: Image to 3D Generation with Physical Consistency
unPIC: A Geometric Multiview Prior for Image to 3D Synthesis
FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction
LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors
DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models
Learning Visual Generative Priors without Text
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting
World-consistent Video Diffusion with Explicit 3D Modeling
RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model
Fixing the Perspective: A Critical Examination of Zero-1-to-3
Any-to-3D Generation via Hybrid Diffusion Supervision
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion
Direct and Explicit 3D Generation from a Single Image
ARM: Appearance Reconstruction Model for Relightable 3D Generation
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting
AI-Driven Stylization of 3D Environments
Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images
DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images
Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.