Papers with Code 아카이브
Image to 3D
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving
Localized Gaussian Splatting Editing with Contextual Awareness
From Flat to Spatial: Comparison of 4 methods constructing 3D, 2 and 1/2D Models from 2D Plans with neural networks
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian Splatting
Controlling Space and Time with Diffusion Models
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
GECO: Generative Image-to-3D within a SECOnd
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image
OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
MVDiff: Scalable and Flexible Multi-View Diffusion for 3D Object Reconstruction from Single-View
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
MeshLRM: Large Reconstruction Model for High-Quality Meshes
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Hash3D: Training-free Acceleration for 3D Generation
Diffusion Time-step Curriculum for One Image to 3D Generation
Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs
The More You See in 2D, the More You Perceive in 3D
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
Garment3DGen: 3D Garment Stylization and Texture Generation
Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.