Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

thereby benefiting the depth learning process. The resulting algorithm, NeRF-Det++, has exhibited appealing performance in the ScanNetV2 and ARKITScenes datasets. Notably, in ScanNetV2, NeRF-Det++ ...

An interactive GUI that allows users to utilize HeadNeRF to directly edit the generated images’ rendering pose and various semantic attributes. A fitting framework for obtaining the latent code ...

For real world datasets depth maps should be generated for each input images, to generate them please do the following: data/ ├── scene_name(Mill-19 and UrbanScene3D) │ ├── train/ │ │ ├── rgbs │ │ │ ...

See our Citation Policies for more details about how to structure your data citation. The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 ...

Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Institute of Biopharmaceutical and Health ...

Imaging Science is an Interdisciplinary field combining computer science, engineering, and physics to explore image creation, perception, and analysis. Our strong industry partnerships, including the ...

he had to retrain it for recognizing different types of LEGO bricks, something we’ve seen done before for use with recognizing playing cards. And to do the retraining, he needed many images of ...