Transparent objects
28 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
Semantic Image Matting
nowsyn/SIM
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CVPR 2021
Specifically, we consider and learn 20 classes of matting patterns, and propose to extend the conventional trimap to semantic trimap.
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
ToyotaResearchInstitute/simnet
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However, the RGB-D baseline only grasps 35% of the hard (e. g., transparent) objects, while SimNet grasps 95%, suggesting that SimNet can enable robust manipulation of unknown objects, including transparent objects, in unknown environments.
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
Common fully glazed facades and transparent objects present architectural barriers and impede the mobility of people with low vision or blindness, for instance, a path detected behind a glass door is inaccessible unless it is correctly perceived and reacted.
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
MMehdiMousavi/SuperCaustics
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In particular, these synthetic datasets omit features such as refraction, dispersion and caustics due to limitations in the rendering pipeline.
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance
In this paper, we build a wearable system with a novel dual-head Transformer for Transparency (Trans4Trans) perception model, which can segment general- and transparent objects.
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
The ability to grasp and manipulate transparent objects is a major challenge for robots.
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
However, the majority of current grasping algorithms would fail in this case since they heavily rely on the depth image, while ordinary depth sensors usually fail to produce accurate depth information for transparent objects owing to the reflection and refraction of light.
ClearPose: Large-scale Transparent Object Dataset and Benchmark
Transparent objects are ubiquitous in household settings and pose distinct challenges for visual sensing and perception systems.
Exploring the Interactive Guidance for Unified and Effective Image Matting
dinghow/uim
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Although avoiding the extensive labors of trimap annotation, existing methods still suffer from two limitations: (1) For the single image with multiple objects, it is essential to provide extra interaction information to help determining the matting target; (2) For transparent objects, the accurate regression of alpha matte from RGB image is much more difficult compared with the opaque ones.
TransMatting: Enhancing Transparent Objects Matting with Transformers
Image matting refers to predicting the alpha values of unknown foreground areas from natural images.
