https://github.com/zhuhao-nju/facescape
공식 코드FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
Papers with Code 아카이브
3D Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.
Image: Gwak et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zikai1/bayfit
공식 코드A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
https://github.com/ziquan111/RobustPCLReconstruction
공식 코드Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
https://github.com/zjhthu/SGC-Release
공식 코드Efficient Semantic Scene Completion Network with Spatial Group Convolution
https://github.com/zju3dv/NeuralRecon
공식 코드NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
https://github.com/zju3dv/manhattan_sdf
공식 코드Neural 3D Scene Reconstruction with the Manhattan-world Assumption
https://github.com/zju3dv/mvn-afm
공식 코드Multi-View Neural 3D Reconstruction of Micro-/Nanostructures with Atomic Force Microscopy
https://github.com/zju3dv/opticfusion
공식 코드https://github.com/zjwzcx/GenNBV
공식 코드GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
https://github.com/zlthinker/STBA
공식 코드Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
https://github.com/zouchuhang/LayoutNetv2
공식 코드LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
https://github.com/zouchuhang/Silhouette-Guided-3D
공식 코드Silhouette Guided Point Cloud Reconstruction beyond Occlusion
https://github.com/zqlin0521/cdgs-release
공식 코드CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting
https://github.com/zqyq/Unsynchronized-Multi-Camera-Surveillance---IEEE-TNNLS
공식 코드Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
https://github.com/zqyq/vtr
공식 코드https://github.com/zqyu9/lusnar-dataset
공식 코드https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics
공식 코드https://github.com/zvict/papr
공식 코드https://github.com/zxk1212/concealgs
공식 코드ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting
https://github.com/zyainfal/One-Shot-Face-Swapping-on-Megapixels
공식 코드https://github.com/zywoosimple/rt-srts
공식 코드https://gitlab.com/UnBVision/edgenet
공식 코드EdgeNet: Semantic Scene Completion from a Single RGB-D Image
https://gitlab.com/UnBVision/spawn
공식 코드Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors
https://gitlab.com/confidence_painting/cpaint
공식 코드Soft Expectation and Deep Maximization for Image Feature Detection
https://gitlab.com/tachella/real-time-sp-lidar
공식 코드Sketched RT3D: How to reconstruct billions of photons per second
https://gitlab.inria.fr/pzins/data-driven-3d-reconstruction-of-dressed-humans-from-sparse-views
공식 코드Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views
https://huggingface.co/datasets/sankalpsinha77/MARVEL-40M
공식 코드MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
https://github.com/0jason000/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/ESRGAN
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2023-MindSpore-4/Code3/tree/main/eppmvsnet
https://github.com/2023-MindSpore-4/Code8/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2024-MindSpore-1/Code7/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/Adelaide-AI-Group/G2D
https://github.com/AemikaChow/DATASOURCE
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
https://github.com/Ajithbalakrishnan/3D-Model-Reconstruction
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.