In our data pack, we simply create a mask with the same shape for each input image with the bottom 250 rows set to 0 and other places to 1. The masks are used here in NeRFStudio during training. For the evaluation of this dataset, we first crop the ground-truth and predicted images...
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields" - giraffe/im2scene/giraffe/models/generator.py at main · autonomousvision/giraffe
“ We also incorporated the spatial consistency of the loss by filtering and using diffusion with kernels of different sizes and patches during the optimization. ” Ultimately, RobustNeRF represents a straightforward modification to the loss function in NeRF models. It only requires a few lines of ...
Besides, most of the robotic grasping approaches require the target object’s location in the input data first. This involves three different stages: object localization without classification, object detection and object instance segmentation. Object localization without classification only outputs the poten...
In robotics applications, 3D object poses provide crucial information to downstream algorithms such as navigation, motion planning, and manipulation. This helps robots make intelligent decisions based on surroundings. The pose of objects can be used by a […] NVIDIA Announces Ready-Made NVIDIA DGX ...
Text-to-image generation Machine learning Deep learning YOLO You Only Look Once LLM 1. Introduction Image acquisition is the fundamental first step in enabling object detection for robotics and automation industries to work with AI, laying the groundwork for machines to identify and interact with th...
In this paper, we investigate Open-Vocabulary 3D Instance Segmentation (OV-3DIS) with free-form language instructions. Earlier works that rely on only annotated base categories for training suffer from limited generalization to unseen novel categories. Recent works mitigate poor generalizability to novel...
Vision-only robot navigation in a neural radiance world. IEEE Robot. Autom. Lett. 2022, 7, 4606–4613. [Google Scholar] [CrossRef] Samadikhoshkho, Z.; Ghorbani, S.; Janabi-Sharifi, F. Vision-based reduced-order adaptive control of aerial continuum manipulation systems. Aerosp. Sci. ...
This leads to an improvement in the safety of the virtual scene, enabling not only a more accurate and efficient representation of the space’s limits but also safer interaction and navigation within it. As previously mentioned, virtualization frameworks have significantly advanced; however, many of...
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