Transparent objects
29 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Transparent objects
TRansPose
Transparent Object Images | Indoor Object Dataset
Most implemented papers
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
pku-epic/dreds
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Commercial depth sensors usually generate noisy and missing depths, especially on specular and transparent objects, which poses critical issues to downstream depth or point cloud-based tasks.
Polarimetric Inverse Rendering for Transparent Shapes Reconstruction
We build a polarization dataset for multi-view transparent shapes reconstruction to verify our method.
TODE-Trans: Transparent Object Depth Estimation with Transformer
We observe that the global characteristics of the transformer make it easier to extract contextual information to perform depth estimation of transparent areas.
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking
Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention.
Data-Driven Computational Imaging for Scientific Discovery
In computational imaging, hardware for signal sampling and software for object reconstruction are designed in tandem for improved capability.
TransMatting: Tri-token Equipped Transformer Model for Image Matting
However, existing methods perform poorly when faced with highly transparent foreground objects due to the large area of uncertainty to predict and the small receptive field of convolutional networks.
FDCT: Fast Depth Completion for Transparent Objects
nonmy/fdct
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To address these challenges, we propose a Fast Depth Completion framework for Transparent objects (FDCT), which also benefits downstream tasks like object pose estimation.
Transparent Object Tracking with Enhanced Fusion Module
kalyan0510/totem
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However, with the existing fusion techniques, the addition of new features causes a change in the latent space making it impossible to incorporate transparency awareness on trackers with fixed latent spaces.
Spider: A Unified Framework for Context-dependent Concept Understanding
Different from the context-independent (CI) concepts such as human, car, and airplane, context-dependent (CD) concepts require higher visual understanding ability, such as camouflaged object and medical lesion.
