Papers Object Reconstruction
“Object Reconstruction” 태그가 달린 논문 291편 · 필터 해제
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation
Partial-view 3D recognition -- reconstructing 3D geometry and identifying object instances from a few sparse RGB images -- is an exceptionally challenging yet practically essential task, particularly in cluttered, occlud…
3D geometry3D ReconstructionContrastive LearningInstance Segmentation+3PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
Skinning and rigging are fundamental components in animation, articulated object reconstruction, motion transfer, and 4D generation. Existing approaches predominantly rely on Linear Blend Skinning (LBS), due to its simpl…
ObjectObject ReconstructionPose TransferGeneralizable Articulated Object Reconstruction from Casually Captured RGBD Videos
Articulated objects are prevalent in daily life. Understanding their kinematic structure and reconstructing them have numerous applications in embodied AI and robotics. However, current methods require carefully captured…
ObjectObject ReconstructionHuSc3D: Human Sculpture dataset for 3D object reconstruction
3D scene reconstruction from 2D images is one of the most important tasks in computer graphics. Unfortunately, existing datasets and benchmarks concentrate on idealized synthetic or meticulously captured realistic data. …
3D Object Reconstruction3D Reconstruction3D Scene ReconstructionBenchmarking+1Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
Learning effective multi-modal 3D representations of objects is essential for numerous applications, such as augmented reality and robotics. Existing methods often rely on task-specific embeddings that are tailored eithe…
3D Object ReconstructionNovel View SynthesisObjectObject ReconstructionSR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping
Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitations. While several 3D reconstruction and d…
3D Object Reconstruction3D ReconstructionDepth CompletionObject Reconstruction+2Low Resolution Next Best View for Robot Packing
Automating the packing of objects with robots is a key challenge in industrial automation, where efficient object perception plays a fundamental role. This paper focuses on scenarios where precise 3D reconstruction is no…
3D ReconstructionObjectObject ReconstructionTransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians
The emergence of neural and Gaussian-based radiance field methods has led to considerable advancements in novel view synthesis and 3D object reconstruction. Nonetheless, specular reflection and refraction continue to pos…
3D Object ReconstructionInverse RenderingNovel View SynthesisObject Reconstruction+1DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror
Sample-induced aberrations and optical imperfections limit the resolution of fluorescence microscopy. Phase diversity is a powerful technique that leverages complementary phase information in sequentially acquired images…
DiversityObjectObject ReconstructionDM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction
Active object reconstruction is crucial for many robotic applications. A key aspect in these scenarios is generating object-specific view configurations to obtain informative measurements for reconstruction. One-shot vie…
ObjectObject Reconstruction3D Object Reconstruction with mmWave Radars
This paper presents RFconstruct, a framework that enables 3D shape reconstruction using commercial off-the-shelf (COTS) mmWave radars for self-driving scenarios. RFconstruct overcomes radar limitations of low angular res…
3D Object Reconstruction3D Shape ReconstructionDecoderObject+1Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset
We introduce the Digital Twin Catalog (DTC), a new large-scale photorealistic 3D object digital twin dataset. A digital twin of a 3D object is a highly detailed, virtually indistinguishable representation of a physical o…
3D Object Reconstruction3D ReconstructionInverse RenderingObject+1Glossy Object Reconstruction with Cost-effective Polarized Acquisition
The challenge of image-based 3D reconstruction for glossy objects lies in separating diffuse and specular components on glossy surfaces from captured images, a task complicated by the ambiguity in discerning lighting con…
3D ReconstructionNovel View SynthesisObjectObject ReconstructionDetection Based Part-level Articulated Object Reconstruction from Single RGBD Image
We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made articulated objects from a single RGBD image, focusing on part-level shape reconstruction and pose and kinematics estimation.…
Object ReconstructionDetail-aware multi-view stereo network for depth estimation
Multi-view stereo methods have achieved great success for depth estimation based on the coarse-to-fine depth learning frameworks, however, the existing methods perform poorly in recovering the depth of object boundaries …
Depth EstimationImage GenerationObjectObject ReconstructionCaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction
In autonomous systems, sensor calibration is essential for a safe and efficient navigation in dynamic environments. Accurate calibration is a prerequisite for reliable perception and planning tasks such as object detecti…
object-detectionObject DetectionObject ReconstructionNext-Best-Trajectory Planning of Robot Manipulators for Effective Observation and Exploration
Visual observation of objects is essential for many robotic applications, such as object reconstruction and manipulation, navigation, and scene understanding. Machine learning algorithms constitute the state-of-the-art i…
Computational EfficiencyObject ReconstructionScene UnderstandingTrajectory PlanningHoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
Novel view synthesis has demonstrated impressive progress recently, with 3D Gaussian splatting (3DGS) offering efficient training time and photorealistic real-time rendering. However, reliance on Cartesian coordinates li…
3DGSNovel View SynthesisObject ReconstructionCDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction
3D object reconstruction from single-view image is a fundamental task in computer vision with wide-ranging applications. Recent advancements in Large Reconstruction Models (LRMs) have shown great promise in leveraging mu…
3D Generation3D Object Reconstruction3D ReconstructionImage to 3D+1Multi-Modal 3D Mesh Reconstruction from Images and Text
6D object pose estimation for unseen objects is essential in robotics but traditionally relies on trained models that require large datasets, high computational costs, and struggle to generalize. Zero-shot approaches eli…
3D Object Reconstruction3D Reconstruction6D Pose Estimation using RGBObject+2