https://bitbucket.org/visinf/projects-2018-matryoshka
공식 코드Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
Papers with Code 아카이브
Object Reconstruction
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/520xyxyzq/3dgs-cd
공식 코드3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement
https://github.com/ActiveVisionLab/MobileBrick
공식 코드MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
https://github.com/Andy97/DeepMLS
공식 코드Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
https://github.com/AutodeskAILab/Fusion360GalleryDataset
공식 코드https://github.com/ChrisWu1997/DeepCAD
공식 코드DeepCAD: A Deep Generative Network for Computer-Aided Design Models
https://github.com/EdwardSmith1884/3D-Object-Super-Resolution
공식 코드Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
https://github.com/EdwardSmith1884/GEOMetrics
공식 코드GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
https://github.com/EdwardSmith1884/Multi-View-Silhouette-and-Depth-Decomposition-for-High-Resolution-3D-Object-Representation
공식 코드Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
https://github.com/GaussianObject/GaussianObject
공식 코드GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
https://github.com/GuanxingLu/ManiGaussian
공식 코드ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation
https://github.com/Inter3D-ui/Inter3D
공식 코드Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction
https://github.com/JingwenWang95/DSP-SLAM
공식 코드https://github.com/Mercerai/PFGS
공식 코드PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
https://github.com/SadilKhan/Text2CAD
공식 코드Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
https://github.com/ShichenLiu/SoftRas
공식 코드Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
https://github.com/StanfordMSL/Splat-MOVER
공식 코드Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting
https://github.com/Wi-sc/GenMesh
공식 코드Single-view 3D Mesh Reconstruction for Seen and Unseen Categories
https://github.com/Yang7879/3D-RecGAN
공식 코드3D Object Reconstruction from a Single Depth View with Adversarial Learning
https://github.com/Yang7879/3D-RecGAN-extended
공식 코드https://github.com/Yang7879/AttSets
공식 코드Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
https://github.com/abhi1kumar/SUP-NeRF
공식 코드https://github.com/ahnchive/recon-mnist
공식 코드Reconstruction-guided attention improves the robustness and shape processing of neural networks
https://github.com/amy-tabb/calico
공식 코드Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
https://github.com/anciukevicius/renderdiffusion
공식 코드RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
https://github.com/ataboukhadra/thor-net
공식 코드https://github.com/autonomousvision/unisurf
공식 코드UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
https://github.com/bchimagine/DeepPredictiveMotionTracking
공식 코드Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
https://github.com/bomb2peng/learn3D
공식 코드Learning Pose-invariant 3D Object Reconstruction from Single-view Images
https://github.com/bunnysocrazy/secad-net
공식 코드SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
https://github.com/chenhsing/ssp3d
공식 코드Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
https://github.com/chenhsuanlin/3D-point-cloud-generation
공식 코드Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
https://github.com/chenhsuanlin/photometric-mesh-optim
공식 코드Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
https://github.com/chenhsuanlin/signed-distance-SRN
공식 코드SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
https://github.com/chensjtu/gaussianobject
공식 코드GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
https://github.com/chinhsuanwu/ifusion
공식 코드iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.