Papers with Code 아카이브
3D Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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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/LONG-9621/SketchTo3D
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks
https://github.com/LansburyCH/relightable-nr
https://github.com/Linyou/D3DGS
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/Linyou/taichi-ngp-renderer
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/MIT-SPARK/Kimera-Evaluation
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
https://github.com/MIT-SPARK/Kimera-RPGO
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-Semantics
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-VIO
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
https://github.com/MIT-SPARK/Kimera-VIO-Evaluation
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
https://github.com/MIT-SPARK/Kimera-VIO-ROS
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/convnext
https://github.com/MalayAgarwal-Lee/MesoNet-DeepFakeDetection
https://github.com/Manasi2001/Spoofed-Speech-Attribution
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
https://github.com/ManyiLee/Open-world-Deepfake-Detection-Network
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Instant_Neural_Graphics_Primitives_with_a_Multiresolution_Hash_Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/MightyChaos/deepNRSfMpp
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
https://github.com/MindCode-4/code-5/tree/main/wavlm
https://github.com/MindCode-4/code-8/tree/main/NeBLa
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
https://github.com/MindSpore-MS-Code2/code0/tree/main/eppmvsnet
https://github.com/MindSpore-paper-code-3/code2/tree/main/convnext
https://github.com/MindSpore-paper-code-3/code7/tree/main/ESRGAN
https://github.com/MindSpore-paper-code-3/code8/tree/main/eppmvsnet
https://github.com/MindSpore-scientific/code-6/tree/main/NeBLa
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
https://github.com/Mistral-Twirl/3D-Point-Cloud-Metrics
https://github.com/NJU-3DV/Gaussian-Flow
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
https://github.com/NVlabs/intrinsic3d
https://github.com/NVlabs/neuralrgbd
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
https://github.com/NVlabs/planercnn
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
https://github.com/Ouasfi/Feat-NKRR-adaptation
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
https://github.com/Ouasfi/SparseOcc
https://github.com/PatrickDDj/TimeFormer-Code
TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction
https://github.com/PruneTruong/GLU-Net
Learning Accurate Dense Correspondences and When to Trust Them
https://github.com/QiShanZhang/SLSforASVspoof-2021-DF
https://github.com/Radhika009/CMPE_295B_MASTERPROJECT
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/Raj-08/Deepfake-Detection-Mesonet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.