PyTorch implementation of Grounding 3D Object Affordance from 2D Interactios in Images. This repository contains PyTorch training, evaluation, inference code, the pretrained model and the PIAD dataset ...
For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
Abstract: Monolithic or sequential 3D Integration is a powerful technological enabler for actual 3D IC design as the stacked layers can be connected at the transistor scale. This paper reviews the ...
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