Papers Transparent objects
“Transparent objects” 태그가 달린 논문 117편 · 필터 해제
TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Understanding the 3D geometry of transparent objects from RGB images is challenging due to their inherent physical properties, such as reflection and refraction. To address these difficulties, especially in scenarios wit…
3D geometryTransparent objectsMonocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for robotic manipulation generally relies on depth…
6D Pose Estimation6D Pose Estimation using RGBCamera CalibrationDepth Estimation+3Multi-Label Stereo Matching for Transparent Scene Depth Estimation
In this paper, we present a multi-label stereo matching method to simultaneously estimate the depth of the transparent objects and the occluded background in transparent scenes.Unlike previous methods that assume a unimo…
Depth EstimationregressionStereo MatchingTransparent objectsEye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
The rising popularity of immersive visual experiences has increased interest in stereoscopic 3D video generation. Despite significant advances in video synthesis, creating 3D videos remains challenging due to the relativ…
Disparity EstimationTransparent objectsVideo GenerationTransparentGS: 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+1TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors
Reconstructing transparent surfaces is essential for tasks such as robotic manipulation in labs, yet it poses a significant challenge for 3D reconstruction techniques like 3D Gaussian Splatting (3DGS). These methods ofte…
3DGS3D ReconstructionDepth EstimationSurface Reconstruction+1Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning
Segmenting transparent structures in images is challenging since they are difficult to distinguish from the background. Common examples are drinking glasses, which are a ubiquitous part of our lives and appear in many di…
SegmentationSemantic SegmentationTransparent objectsZero-Shot LearningSeeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation
Transparent objects are common in daily life, and understanding their multi-layer depth information -- perceiving both the transparent surface and the objects behind it -- is crucial for real-world applications that inte…
Depth EstimationTransparent objectsIBURD: Image Blending for Underwater Robotic Detection
We present an image blending pipeline, \textit{IBURD}, that creates realistic synthetic images to assist in the training of deep detectors for use on underwater autonomous vehicles (AUVs) for marine debris detection task…
Autonomous VehiclesStyle TransferTransparent objectsMonocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion
Transparent object perception is indispensable for numerous robotic tasks. However, accurately segmenting and estimating the depth of transparent objects remain challenging due to complex optical properties. Existing met…
Depth EstimationMonocular Depth EstimationTransparent objectsEnhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection
Object pose estimation of transparent objects remains a challenging task in the field of robot vision due to the immense influence of lighting, background, and reflections. However, the edges of clear objects have the hi…
6D Pose Estimation using RGBEdge DetectionObjectobject-detection+3TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object Manipulation
Transparent object manipulation remains a sig- nificant challenge in robotics due to the difficulty of acquiring accurate and dense depth measurements. Conventional depth sensors often fail with transparent objects, resu…
Depth CompletionTransparent objectsCar-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction
3D car modeling is crucial for applications in autonomous driving systems, virtual and augmented reality, and gaming. However, due to the distinctive properties of cars, such as highly reflective and transparent surface …
3DGSAutonomous DrivingTransparent objectsReFlow6D: Refraction-Guided Transparent Object 6D Pose Estimation via Intermediate Representation Learning
Transparent objects are ubiquitous in daily life, making their perception and robotics manipulation important. However, they present a major challenge due to their distinct refractive and reflective properties when it co…
6D Pose EstimationImage MattingPose EstimationRepresentation Learning+1TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network
The sensing and manipulation of transparent objects present a critical challenge in industrial and laboratory robotics. Conventional sensors face challenges in obtaining the full depth of transparent objects due to the r…
Depth CompletionTransparent objectsStereo Hand-Object Reconstruction for Human-to-Robot Handover
Jointly estimating hand and object shape facilitates the grasping task in human-to-robot handovers. However, relying on hand-crafted prior knowledge about the geometric structure of the object fails when generalising to …
ObjectObject ReconstructionTransparent objectsQuadWBG: Generalizable Quadrupedal Whole-Body Grasping
Legged robots with advanced manipulation capabilities have the potential to significantly improve household duties and urban maintenance. Despite considerable progress in developing robust locomotion and precise manipula…
Reinforcement Learning (RL)Transparent objectsFrom Transparent to Opaque: Rethinking Neural Implicit Surfaces with $α$-NeuS
Traditional 3D shape reconstruction techniques from multi-view images, such as structure from motion and multi-view stereo, face challenges in reconstructing transparent objects. Recent advances in neural radiance fields…
3D Shape ReconstructionTransparent objectsObject Pose Estimation Using Implicit Representation For Transparent Objects
Object pose estimation is a prominent task in computer vision. The object pose gives the orientation and translation of the object in real-world space, which allows various applications such as manipulation, augmented re…
NeRFObjectPose EstimationTransparent objectsClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation
Transparent object depth perception poses a challenge in everyday life and logistics, primarily due to the inability of standard 3D sensors to accurately capture depth on transparent or reflective surfaces. This limitati…
Transparent objects