Papers with Code 아카이브
3D Reconstruction
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks
AutoPartGen: Autogressive 3D Part Generation and Discovery
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
SpatialTrackerV2: 3D Point Tracking Made Easy
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation
Binomial Self-Compensation: Mechanism and Suppression of Motion Error in Phase-Shifting Profilometry
Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT
Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion
An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation
MoReMouse: Monocular Reconstruction of Laboratory Mouse
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios
SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
PanSt3R: Multi-view Consistent Panoptic Segmentation
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
Video Perception Models for 3D Scene Synthesis
Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects
Experimental Assessment of Neural 3D Reconstruction for Small UAV-based Applications
MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection
Mobile Image Analysis Application for Mantoux Skin Test
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
Part$^{2}$GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation
Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction
Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.