Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

This repository contains the PyTorch implementation for paper “PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds” (CVPR 2021)[arXiv] Installation Prerequisites Python 3.8 PyTorch 1.8 torch-scatter CUDA 10.2 RTX 2080 Ti tqdm, tensorboard, scipy, imageio, png conda create -n pvraft python=3.8 conda activate pvraft conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch conda install tqdm tensorboard scipy imageio pip install pypng pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.8.0+cu102.html Usage Data Preparation We follow HPLFlowNet to prepare FlyingThings3D and KITTI datasets. […]

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Editing Conditional Radiance Fields With Python

Editing Conditional Radiance Fields Editing Conditional Radiance FieldsSteven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan RussellMIT, Adobe Research, CMUin arXiv:2105.06466, 2021. Editing Results Color Editing Our method propagates sparse 2D user scribbles to fill an object region, rendering the edit consistently across views. The user provides a color, a foreground scribble for the region to change, and a background scribble for regions to keep unchanged. To conduct the edit, we optimize a reconstruction-based loss to encourage the […]

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