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Transparent objects

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Showing 1–50 of 117 papers

TitleStatusHype
TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update—0
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping—0
Multi-Label Stereo Matching for Transparent Scene Depth EstimationCode1
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis—0
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians—0
TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors—0
Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning—0
Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation—0
IBURD: Image Blending for Underwater Robotic Detection—0
Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric FusionCode1
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection—0
TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object ManipulationCode1
Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction—0
ReFlow6D: Refraction-Guided Transparent Object 6D Pose Estimation via Intermediate Representation LearningCode0
TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel NetworkCode1
Stereo Hand-Object Reconstruction for Human-to-Robot Handover—0
QuadWBG: Generalizable Quadrupedal Whole-Body Grasping—0
From Transparent to Opaque: Rethinking Neural Implicit Surfaces with α-NeuSCode1
Object Pose Estimation Using Implicit Representation For Transparent Objects—0
ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation—0
Depth Restoration of Hand-Held Transparent Objects for Human-to-Robot Handover—0
DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects—0
DepGAN: Leveraging Depth Maps for Handling Occlusions and Transparency in Image Composition—0
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity—0
Transparent Object Depth Completion—0
Influence of Water Droplet Contamination for Transparency Segmentation—0
Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation—0
Spider: A Unified Framework for Context-dependent Concept SegmentationCode3
SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects—0
Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting—0
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation—0
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking—0
Differentiable Neural Surface Refinement for Modeling Transparent Objects—0
EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation—0
Neural Radiance Fields for Transparent Object Using Visual Hull—0
Gaussian Splatting SLAMCode4
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views—0
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D—0
RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation—0
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior—0
STOPNet: Multiview-based 6-DoF Suction Detection for Transparent Objects on Production Lines—0
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance FieldsCode1
TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches—0
Transparent Object Tracking with Enhanced Fusion ModuleCode0
NeTO: Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing—0
FDCT: Fast Depth Completion for Transparent ObjectsCode1
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation—0
TRansPose: Large-Scale Multispectral Dataset for Transparent Object—0
Internal-External Boundary Attention Fusion for Glass Surface Segmentation—0
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion—0
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